Co esponding au ho : Oluwapelumi Joseph Adebowale
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion License 4.0.
Modula ba e y pack design and se iceabili y in elec ic ehicles
Oluwapelumi Joseph Adebowale *
Depa men o Mechanical Enginee ing, Pu due Uni e si y, USA.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
Publica ion his o y: Recei ed on 02 Ap il 2025; e ised on 11 May 2025; accep ed on 13 May 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.26.2.1902
Abs ac
The apid g ow h o elec ic ehicles (EVs) has heigh ened he demand o ba e y sys ems ha no only deli e high
pe o mance bu a e also e icien o main ain, scale, and ecycle. While much o he indus y’s ocus has been on ene gy
densi y and cos op imiza ion, se iceabili y—de ined by ease o main enance, diagnos ic accessibili y, and componen -
le el eplacemen —has eme ged as a c i ical ye unde p io i ized ac o . T adi ional EV ba e y packs, o en monoli hic
and igh ly in eg a ed, pose signi ican challenges o ield echnicians, including p olonged disassembly imes, high-
ol age sa e y isks, and limi ed diagnos ic anspa ency. These limi a ions inc ease down ime, escala e se ice cos s,
and cons ain he long- e m sus ainabili y o EV pla o ms. This pape explo es he ans o ma i e ole o modula
ba e y pack design in imp o ing se iceabili y and li ecycle e iciency ac oss EV ecosys ems. F om a b oade
pe spec i e, i examines how modula i y acili a es s eamlined main enance wo k lows, sa e handling p ocedu es,
and s anda dized eplacemen s a egies. The analysis na ows o compa e he design philosophies o leading OEMs
such as Tesla, GM, Ri ian, and Lucid, e alua ing how di e en a chi ec u es impac ield epai abili y and echnician
sa e y. Fu he sec ions explo e he ipple e ec s o modula design on manu ac u ing au oma ion, second-li e euse,
and end-o -li e disassembly o ecycling. Emphasis is also placed on in e ace s anda diza ion, diagnos ic sys em
in eg a ion, and he need o in e ope able se ice p o ocols. A eal-wo ld case s udy demons a es how design
decisions—such as in e lock logic, balancing p ocedu es, and module accessibili y— ansla e in o measu able se ice
e iciency imp o emen s. The pape concludes wi h s a egic ecommenda ions o ad ancing modula , se ice-
o ien ed ba e y pack a chi ec u es ha align wi h he e ol ing demands o sus ainable, echnician- iendly EV
pla o ms.
Keywo ds: Modula Ba e y Design; EV Se iceabili y; Diagnos ic Accessibili y; Field Main enance; Ba e y Pack
A chi ec u e; Elec ic Vehicle Sus ainabili y
1. In oduc ion
1.1. Rise o Elec ic Vehicles (EVs) and Impo ance o Ba e y Pack Design
The global au omo i e indus y is unde going a ans o ma i e shi , wi h elec ic ehicles (EVs) posi ioned a he cen e
o a sus ainable anspo a ion e olu ion. In esponse o igh ening emissions egula ions, echnological
ad ancemen s, and g owing consume demand o cleane al e na i es, EV adop ion has su ged o e he pas decade
[1]. Majo au omake s a e econ igu ing hei p oduc s a egies o p io i ize ba e y elec ic ehicles (BEVs) o e
in e nal combus ion engine (ICE) pla o ms, wi h o ecas s indica ing ha EVs could ep esen o e 50% o new ehicle
sales globally by 2040 [2].
Cen al o he unc ionali y, pe o mance, and longe i y o EVs is he ba e y pack—comp ising modules, cells, and an
in ica e ne wo k o senso s, cooling sys ems, and s uc u al housings. The ba e y is no only he mos expensi e
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2206
componen o he EV powe ain bu also he mos echnically complex and sa e y-c i ical [3]. As such, i s design has
p o ound implica ions o ehicle pe o mance, cha ging beha io , weigh dis ibu ion, and c ashwo hiness.
T adi ionally, ba e y pack design has been domina ed by pe o mance-cen ic me ics such as ene gy densi y, powe
ou pu , and he mal managemen e iciency. Howe e , as EVs en e mains eam ma ke s and owne ship cycles ex end
beyond ini ial wa an y pe iods, design p io i ies a e e ol ing o include ease o se ice, diagnos ics, and modula i y
[4]. These conside a ions a e essen ial o educing li ecycle cos s, suppo ing ci cula economy goals, and enabling
second-li e applica ions such as ene gy s o age [5].
In his con ex , he se iceabili y o EV ba e y packs—de ined as he ease wi h which hey can be diagnosed, accessed,
emo ed, epai ed, o eplaced—is becoming an inc easingly c i ical me ic in bo h enginee ing and economic
e alua ions. Ba e y pack design decisions mus he e o e balance pe o mance objec i es wi h long- e m ope a ional
accessibili y and sa e y, pa icula ly as global EV lee s con inue o scale [6].
1.2. S a egic Shi om Pe o mance-Fi s o Se iceabili y-Awa e Design
The ea lies gene a ions o EVs p io i ized apid inno a ion in ene gy s o age, ocusing hea ily on maximizing ange,
minimizing weigh , and ensu ing he mal s abili y. While hese design impe a i es we e jus i ied by echnological
imma u i y and ma ke compe i i eness, hey o en esul ed in ba e y a chi ec u es ha we e igh ly in eg a ed,
inaccessible, and di icul o epai wi hou specialized ools o comple e pack eplacemen [7].
Today, as he EV indus y ma u es, manu ac u e s a e ecognizing he s a egic alue o se iceabili y-awa e design.
This design pa adigm shi s he emphasis om sho - e m pe o mance me ics o li ecycle ope abili y, sa e y, and cos -
e ec i eness. I includes conside a ions such as modula pack cons uc ion, accessible as ene s, in eg a ed diagnos ic
senso s, and s anda dized in e aces o disassembly and es ing [8]. Such ea u es enable ou ine main enance, educe
echnician aining ime, and acili a e apid esponse o ba e y aul s— he eby enhancing he esilience o EV se ice
ne wo ks.
Fu he mo e, inc easing sc u iny om egula o s, lee ope a o s, and insu ance p o ide s is ampli ying he need o
anspa en , se iceable ba e y designs. Policies a ound igh - o- epai , ex ended p oduc esponsibili y, and end-o -
li e ma e ial eco e y equi e ha ba e y sys ems be designed o aceabili y and sa e decons uc ion [9]. Failu e o
add ess hese needs may esul in inancial penal ies, epu a ional isk, and educed compe i i eness in a e ma ke
se ices.
Companies like Tesla, Fo d, and Volkswagen ha e begun inco po a ing modula ba e y pla o ms wi h se iceabili y
in mind, allowing echnicians o eplace indi idual modules ins ead o en i e packs. This p ac ice educes en i onmen al
impac and lowe s wa an y epai cos s while main aining cus ome us [10]. Addi ionally, design o se iceabili y
suppo s eme ging business models such as ba e y leasing and ene gy epu posing, c ea ing new e enue s eams
beyond he ini ial ehicle sale.
By emb acing his shi , manu ac u e s can u u e-p oo hei EV pla o ms, align wi h sus ainabili y goals, and suppo
a mo e obus and echnician- iendly se ice ecosys em [11].
1.3. The Cos o Poo Se iceabili y: Technician Risk, Down ime, Cus ome Sa is ac ion
Poo se iceabili y in EV ba e y packs ca ies signi ican inancial, ope a ional, and sa e y implica ions. One o he mos
p essing conce ns is echnician isk. High- ol age ba e y sys ems can pose se ious haza ds—including elec ic shock,
he mal unaway, and chemical exposu e—i p ope p ocedu es and sa e y mechanisms a e no in eg a ed in o he
design [12]. Ba e y packs ha a e sealed, inaccessible, o lack diagnos ic cla i y o ce echnicians o conduc ime-
consuming and po en ially haza dous disassembly p ocedu es, inc easing he likelihood o acciden s o imp ope
handling.
Secondly, poo se iceabili y di ec ly con ibu es o ehicle down ime. In comme cial lee s o idesha e ope a ions,
p olonged ba e y se icing can ansla e o los e enue, inc eased ope a ional cos s, and logis ical bo lenecks. The
inabili y o diagnose and add ess ba e y issues quickly impai s o e all lee a ailabili y and dis up s main enance
wo k lows [13].
F om he consume pe spec i e, cus ome sa is ac ion is closely linked o se ice expe ience. Long wai imes, high
epai cos s, and unclea diagnosis o ba e y aul s can e ode b and loyal y and d i e nega i e pe cep ions abou EV
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2207
owne ship. Unlike ICE ehicles, whe e epai and main enance ecosys ems a e well-es ablished, EV se ice ne wo ks
a e s ill eme ging—and poo ba e y accessibili y compounds his challenge [14].
Addi ionally, he inabili y o e icien ly eplace o upg ade ba e y modules unde mines he po en ial o second-li e
applica ions, ba e y ecycling, and wa an y compliance. These ine iciencies escala e o al cos o owne ship (TCO)
and wo k agains indus y-wide sus ainabili y goals [15].
Add essing hese issues h ough se iceabili y-conscious design is no jus a echnical conce n—i is a s a egic
impe a i e ha a ec s sa e y, e iciency, cus ome sa is ac ion, and long- e m b and iabili y.
1.4. P e iew o A icle S uc u e
This a icle explo es how ba e y pack design in elec ic ehicles mus e ol e o p io i ize se iceabili y wi hou
comp omising pe o mance. Sec ion 2 p o ides a echnical o e iew o ba e y a chi ec u es and he ela ionship
be ween pack layou and epai complexi y. Sec ion 3 examines eal-wo ld se ice challenges h ough ield da a and
echnician case s udies. Sec ion 4 p esen s design p inciples and eme ging echnologies aimed a imp o ing
se iceabili y. Sec ion 5 ou lines egula o y ends and business model implica ions, while Sec ion 6 o e s
ecommenda ions o indus y s akeholde s. The conclusion syn hesizes indings o p opose a oadmap o in eg a ing
se iceabili y in o nex -gene a ion EV design s a egies [16].
2. Design o se iceabili y and main enance e iciency
2.1. Challenges in Se icing EV Ba e y Packs
Se icing elec ic ehicle (EV) ba e y packs p esen s a unique se o challenges, s emming p ima ily om he physical
cha ac e is ics and sa e y equi emen s o high-ene gy sys ems. The mos immedia e conce n is high- ol age isk. Mos
EV packs ope a e be ween 400 o 800 ol s, wi h some pe o mance ehicles exceeding 900 ol s. Con ac wi h
imp ope ly isola ed componen s can esul in le hal elec ic shocks, equi ing echnicians o use specialized pe sonal
p o ec i e equipmen (PPE), insula ed ools, and high- ol age aining ce i ica ion [6].
Ano he haza d a ises om he mal isks. Damaged o deg aded cells can ini ia e he mal unaway, a sel -p opaga ing
chemical eac ion ha leads o i es o explosions. The p esence o ola ile elec oly es wi hin densely packed modules
ele a es his isk du ing disassembly, especially when p essu e elease al es o he mal uses a e inaccessible [7].
Imp ope cooling line disconnec ion, punc u ed casings, o imp ope handling can esul in dange ous ou comes e en
du ing ou ine se icing.
A c i ical echnical hu dle is disassembly complexi y. Many ea ly-gene a ion packs a e designed o du abili y and
compac ness, o en elying on po ed esin encapsula ion o welded seams ha a e di icul o e e se in he ield. This
no only leng hens se ice ime bu also inc eases he likelihood o damage du ing ea down p ocedu es [8]. Some pack
con igu a ions bu y modules benea h s uc u al componen s, equi ing ull unde body access o hois ing sys ems,
complica ing mobile o ield se icing e o s.
Fu he complexi y a ises om a chi ec u al a ia ion ac oss manu ac u e s. Cell ypes (pouch, cylind ical, p isma ic),
cooling layou s (pla e, imme sion, o se pen ine ube), and con ol sys ems a y widely, lea ing echnicians wi h
inconsis en aining amewo ks and diagnos ic ooling [9]. Wi hou s anda diza ion, iden i ying aul loca ion o oo
causes is ime-in ensi e and e o -p one.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2208
Figu e 1 C oss-sec ional diag am o con en ional s. modula pack se ice pa hways
Addi ionally, many EV packs su e om diagnos ic unce ain y. Ba e y Managemen Sys ems (BMS) o en p o ide
limi ed o enc yp ed aul codes. Wi hou anspa en diagnos ics o cell-le el moni o ing, echnicians mus ely on
ine icien ial-and-e o eplacemen s a egies, which in la e se ice cos s and comp omise e iciency [10].
2.2. Ad an ages o Modula Designs
Modula ba e y pack design in oduces a pa adigm shi in he way se iceabili y, scalabili y, and sus ainabili y a e
app oached in EV enginee ing. A modula design consis s o independen ly accessible and de achable uni s— ypically
sub-packs o cells—housed wi hin a common ame. This con igu a ion o e s a wide ange o bene i s, especially in
e ms o main enance and long- e m ope a ional e iciency.
Ease o access is among he mos compelling ad an ages. Ins ead o equi ing ull pack emo al o decons uc ion,
modula packs allow echnicians o isola e and se ice de ec i e modules quickly. Se ice panels, snap-in as ene s, and
ex e nal ha ness connec o s educe he need o in asi e pack disassembly and limi echnician exposu e o high-
ol age ci cui s [11]. Fu he mo e, modula layou s suppo ool-less diagnos ics in some sys ems, wi h embedded aul
LEDs and p og ammable senso ou pu s acili a ing apid inspec ion.
This accessibili y leads di ec ly o educed down ime. In lee ope a ions, logis ics, and public ansi sys ems, ehicle
up ime is a mission-c i ical pa ame e . Modula ba e y a chi ec u e allows o same-day module eplacemen and
educes he need o o load ehicles o se ice cen e s. This agili y is pa icula ly bene icial o mobile se ice uni s
deployed in emo e o high- u no e egions [12].
Ano he bene i lies in lowe aining equi emen s. Ins ead o aining echnicians on ull-pack a chi ec u e and
ea down p o ocols, manu ac u e s can de elop modula aining modules ocused on common aul scena ios,
connec o managemen , and cell isola ion echniques. This educes onboa ding ime, s anda dizes sa e y p ocedu es,
and lowe s labo cos s o e ime [13].
A modula sys em also suppo s isola ed module eplacemen a he han ull-pack se ice. This is c i ical in managing
wa an y cos s, as OEMs and hi d-pa y wa an y p o ide s o en ace inancial s ain eplacing en i e packs o aul s
isola ed o a single cell clus e . Ta ge ed epai s lowe ma e ial use, educe en i onmen al impac , and ex end pack
li ecycles—con ibu ing o ci cula economy goals [14].
F om a ield main enance pe spec i e, modula i y suppo s lexible deploymen . Technicians can ca y eplacemen
modules, es ki s, and s anda dized ools, minimizing he need o ull-shop in as uc u e. Mo eo e , modula designs
acili a e quick diagnos ics and allow o p oac i e eplacemen s a egies in ehicles wi h p edic ed module-le el
deg ada ion.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2209
Table 1 Compa a i e Me ics – Disassembly Time, Se ice Cos , and Technician Haza d Le el
Pack
A chi ec u e
Disassembly
Time (min)
Se ice
Cos (USD)
Technician Haza d
Le el<b >(0–5)
Rema ks
Fully Modula
30–45
400–800
1.5
Fas access; low- ol age isola ion
zones; suppo s pa -le el epai s.
Semi-Modula
60–90
800–1,200
2.5
Mixed access pa hs; pa ial
au oma ion; isk a ies by
con igu a ion.
In eg a ed
(Welded)
120–180
1,500–
2,200
4.0
Di icul ea down; highe ol age
exposu e; ull-pack handling
equi ed.
Po ed/Sealed
>180
>2,500
4.5
Des uc i e p ocess; he mal and
chemical haza ds; non- e e sible
disassembly.
Quan i a i ely, modula designs exhibi supe io pe o mance in key se ice me ics. S udies ha e shown disassembly
imes educed by up o 60%, se ice cos s lowe ed by 40%, and echnician haza d exposu e signi ican ly mi iga ed
compa ed o monoli hic pack layou s [15].
Finally, modula i y suppo s e enue con inui y and epu a ion. Fas e se ice cycles educe cus ome us a ion,
suppo se ice-le el ag eemen s (SLAs), and educe loane ehicle cos s. Fo OEMs, his ansla es in o enhanced pos -
sale engagemen , lowe ne wa an y liabili ies, and he abili y o o e p emium se ice ie s based on as e , mo e
eliable ba e y ca e [16].
2.3. OEM App oaches o Modula Se iceabili y
Di e en EV manu ac u e s ha e aken di e gen app oaches o ba e y pack design, each balancing modula i y,
in eg a ion, cos , and manu ac u abili y. These app oaches e lec ade-o s be ween pe o mance op imiza ion and
long- e m se iceabili y.
Tesla’s ba e y a chi ec u e is enowned o i s ene gy densi y and s uc u al in eg a ion. In he Model S and Model 3,
Tesla u ilizes igh ly packed cylind ical cells wi hin a bonded and po ed s uc u e. This con igu a ion enhances he mal
and s uc u al pe o mance bu poses majo se iceabili y challenges [17]. The pack is di icul o open wi hou
specialized ools, and module eplacemen is a ely iable ou side cen alized se ice hubs. Mo eo e , Tesla limi s hi d-
pa y access o diagnos ic in e aces, es ic ing se ice o ce i ied cen e s. While his allows o quali y con ol, i
educes lexibili y and aises owne ship cos s o ou -o -wa an y cus ome s [18].
In con as , Ri ian’s R1T and R1S pla o ms emphasize uggedness and ield main ainabili y. The company uses a
s ackable modula con igu a ion whe e sub-packs can be accessed h ough emo able panels. Diagnos ic po s a e
ex e nalized, and module iden i ica ion labels a e isible wi hou disassembly. These design decisions align wi h
Ri ian’s cus ome base—o - oad use s and lee ope a o s—who alue se ice lexibili y in decen alized loca ions
[19].
Gene al Mo o s (GM) in oduced he Ul ium ba e y pla o m, which ep esen s a balance be ween modula i y and
manu ac u ing e iciency. Ul ium u ilizes la ge- o ma pouch cells a anged in eplaceable modules wi hin a scalable
ma ix. Each module is indi idually cooled and moni o ed, wi h connec o s designed o apid disconnec ion. GM’s
pla o m also ea u es a uni ied BMS capable o module-le el ol age and he mal epo ing, allowing g anula
diagnos ics. This design suppo s bo h pe o mance op imiza ion and ield-le el module eplacemen , making i one o
he mos se iceable high-capaci y sys ems cu en ly in mass p oduc ion [20].
Lucid Mo o s, wi h i s Ai luxu y sedan, has adop ed a semi-se iceable a chi ec u e. Lucid’s pack consis s o high-
densi y cylind ical cells housed in “sma modules” wi h embedded diagnos ics and ol age balancing. Al hough he
pack is sealed wi h a s uc u al enclosu e o s i ness and c ash sa e y, he modules a e accessible ia a guided emo al
p ocess. Lucid has pa ne ed wi h ce i ied echnicians and p o ides cloud-linked diagnos ics o emo e aul de ec ion.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2210
While less modula han Ri ian o GM, Lucid’s a chi ec u e suppo s ie ed se ice wo k lows and p io i izes sa e y in
handling [21].
Figu e 2 Exploded- iew compa ison o ba e y pack modula i y ac oss OEMs
Table 2 OEM Modula i y Sco es — Accessibili y, Diagnos ic In e ace, Pa -Le el Repai abili y
OEM
Accessibili y
(0–5)
Diagnos ic
In e ace (0–
5)
Pa -Le el
Repai abili y (0–
5)
To al
Sco e
(0–15)
Rema ks
Tesla
2
2
1
5
Highly in eg a ed design;
limi ed hi d-pa y diagnos ics;
low modula se iceabili y.
Ri ian
5
4
4
13
Rugged modula layou ;
accessible panels; good BMS
da a access.
GM (Ul ium)
4
5
4
13
S ong module-le el
diagnos ics and ield-
se iceable modules.
Lucid
3
4
3
10
Semi-se iceable sma packs;
decen diagnos ic cla i y.
Fo d
4
3
3
10
Modula design ac oss
pla o ms; mode a e in e ace
anspa ency.
Hyundai/Kia
3
3
2
8
Pack segmen a ion exis s;
limi ed BMS openness; se ice
s a egy e ol ing.
Volkswagen
4
3
3
10
ID se ies o e s mode a e
se iceabili y and g owing
diagnos ic capabili ies.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2211
Table 2 sco es OEM pla o ms on modula i y based on h ee co e dimensions: physical accessibili y, diagnos ic in e ace
anspa ency, and easibili y o pa -le el epai abili y. Ri ian and GM sco e highes ac oss all ca ego ies, while Tesla
sco es lowes in se iceabili y despi e echnological sophis ica ion [22].
OEM decisions a ound modula i y a e shaped no only by echnical easibili y bu also by b and s a egy, epai
ecosys em philosophy, and pos -sale mone iza ion models. Manu ac u e s who p io i ize cus ome expe ience, lee
se iceabili y, and ci cula economy alignmen end o in es mo e hea ily in modula i y and open diagnos ics.
As he EV ma ke ma u es, indus y momen um is shi ing owa d s anda dized modula i y benchma ks. Collabo a i e
ini ia i es be ween OEMs, egula o s, and se ice p o ide s may soon codi y minimum se iceabili y s anda ds—
u he p essu ing au omake s o econside hei design choices in a o o echnician sa e y, e iciency, and long- e m
cos con ol [23].
3. Impac o modula design on manu ac u ing, scalabili y, and ecycling
3.1. Manu ac u ing and Au oma ed Assembly
The indus ializa ion o elec ic ehicle (EV) ba e y p oduc ion has p io i ized au oma ion, s anda diza ion, and
h oughpu e iciency. In his con ex , modula ba e y pack a chi ec u es p esen unique ad an ages o manu ac u ing
and obo ic assembly, especially when compa ed o ully in eg a ed designs. Modula packs o en use epea able sub-
s uc u es, such as s anda dized ays, busba a angemen s, and coolan mani olds, ha can be p oduced and
assembled in a obo - iendly sequence [11].
The eme gence o cell- o-pack (CTP) and module- o-pack (MTP) s a egies has u he s eamlined p oduc ion
p ocesses. CTP design elimina es in e media e module casings and places cells di ec ly in o he pack housing, enhancing
ene gy densi y and educing ma e ial use. MTP con igu a ions main ain modula bene i s while p ese ing e icien
sub-pack in eg a ion, allowing manu ac u e s o s ike a balance be ween se iceabili y and pe o mance [12]. These
a chi ec u es educe he numbe o indi idual welds, connec o s, and as ene s—each o which adds complexi y and
cos in au oma ed en i onmen s.
One o he key enable s o au oma ion is dimensional consis ency. Modula sys ems o en employ p ecisely aligned cell
a ays, compa ible wi h obo ic s acking, adhesi e applica ion, and o quing p ocedu es. This epea abili y suppo s
high- h oughpu assembly lines while main aining igh ole ances equi ed o he mal managemen and sa e y [13].
Despi e hese ad an ages, ade-o s emain. G ea e modula i y o en equi es addi ional mechanical enclosu es,
in e connec s, and edundan cooling pa hways, which can sligh ly educe g a ime ic ene gy densi y. Fo high-
pe o mance ehicles o long- ange applica ions, hese comp omises can a ec o e all ehicle ange o equi e upsizing
o he ba e y oo p in [14].
To add ess his, ad anced OEMs use hyb id echniques such as sma modula iza ion, whe e only ailu e-p one zones
a e designed o disassembly, while low- isk zones a e op imized o in eg a ion. These hyb id app oaches e ain he
bene i s o modula manu ac u ing while p ese ing ene gy densi y a ge s [15].
Ul ima ely, he compa ibili y o modula pack designs wi h au oma ed assembly sys ems enhances manu ac u abili y,
educes labo dependency, and enables as e p oduc i e a ion cycles, making hem highly a ac i e o mode n
giga ac o y en i onmen s.
3.2. Scalabili y and Pla o m Flexibili y
One o he mos s a egically impo an ad an ages o modula ba e y a chi ec u e is i s po en ial o scalabili y and
c oss-pla o m lexibili y. In he e a o ehicle elec i ica ion, au omake s a e mo ing owa d "design once, deploy
many" pla o ms, whe e a single ba e y sys em can powe mul iple ehicle ypes— om sedans o SUVs o deli e y
ans—wi h minimal modi ica ion [16].
Modula packs make his possible by allowing a iable s ack con igu a ions. OEMs can inc ease pack capaci y by adding
mo e modules o achie e weigh sa ings by educing he module coun —all while main aining consis en in e ace
geome ies and elec onic con ol p o ocols. Fo ins ance, Gene al Mo o s' Ul ium pla o m uses a s anda dized cell
o ma and pack s uc u e ac oss dozens o ehicle models, minimizing de elopmen lead ime and p oduc ion line
complexi y [17].
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2212
This s anda diza ion also simpli ies logis ics and in en o y managemen . A modula a chi ec u e enables au omake s
and se ice cen e s o s ock a common se o eplacemen modules and connec o s ins ead o bespoke pa s o each
ehicle model. This consolida ion educes wa ehouse oo p in , imp o es pa s a ailabili y, and s eamlines global
se ice supply chains [18].
F om a p oduc de elopmen pe spec i e, modula i y suppo s pa allel enginee ing. Ba e y eams can de elop
modules and packs concu en ly wi h ehicle chassis designe s, educing he need o edesign when ehicle
pa ame e s e ol e. This accele a es ime- o-ma ke and lowe s he isk o cos ly mid-cycle adjus men s [19].
Mo eo e , lexible ba e y packs acili a e he in eg a ion o di e en cell chemis ies (e.g., NMC, LFP) o o m ac o s
(e.g., pouch, p isma ic) o egional cus omiza ion o cos op imiza ion. This adap abili y is pa icula ly aluable o
au omake s selling ac oss ma ke s wi h a ying en i onmen al condi ions, subsidy schemes, and pe o mance
expec a ions [20].
Howe e , achie ing such lexibili y equi es delibe a e a chi ec u al planning. The mechanical, he mal, and elec ical
in e aces o modules mus be designed o in e ope abili y, o en equi ing complex simula ion and alida ion o
ensu e ha packs pe o m eliably ac oss con igu a ions. Despi e he enginee ing o e head, he long- e m economic
and logis ical gains o scalable modula sys ems make hem a compelling design s a egy [21].
Thus, modula ba e y pla o ms o e a ounda ion o cos -e ec i e p oduc di e si ica ion, in en o y op imiza ion,
and consis en se ice deli e y—c i ical ac o s in a compe i i e and as -e ol ing EV ma ke .
3.3. Recycling and Second-Li e Applica ions
Ba e y end-o -li e (EOL) managemen is an u gen p io i y as EV adop ion scales globally. Modula ba e y
a chi ec u es o e signi ican ad an ages o bo h ecycling and second-li e applica ions, pa icula ly by enabling sa e ,
as e , and mo e e icien pack disassembly and ma e ials eco e y.
One o he p ima y bene i s o modula i y is ease o module-le el es ing. Be o e ecycling, ba e y packs a e o en
e alua ed o second-li e use in s a iona y ene gy s o age, g id balancing, o mic og id sys ems. Modula designs allow
echnicians o isola e and es indi idual modules o s a e o heal h (SOH), in e nal esis ance, and capaci y e en ion.
Modules ha mee pe o mance h esholds can be edeployed, while deg aded ones a e di ec ed o ma e ial eco e y
p ocesses [22].
In con as , in eg a ed packs o en equi e des uc i e disassembly o yield inconsis en module in eg i y, educing
euse po en ial and inc easing haza dous was e. Modula sys ems simpli y his iage p ocess, suppo ing ci cula
economy objec i es and educing he ca bon oo p in o ba e y p oduc ion h ough euse [23].
Design also impac s end-o -li e so ing and disman ling e iciency. Modula packs wi h s anda d as ene s, labeled
ha nesses, and sepa able componen s can be disman led by semi-au oma ed sys ems, educing labo cos s and
echnician exposu e o oxic ma e ials. In con as , in eg a ed packs o en ely on adhesi es, welds, o p op ie a y seals,
complica ing au oma ion and inc easing en i onmen al haza d isks [24].
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2213
Figu e 3 Flow diag am – ba e y li e cycle in modula s. in eg a ed sys ems
F om a ma e ials pe spec i e, modula i y enables cleane sepa a ion o high- alue ma e ials such as cobal , nickel, and
coppe . Packs designed o ecyclabili y use dissimila ma e ial junc ions, coa ing indica o s, and ool- eadable QR
codes o imp o e aceabili y and au oma ion compa ibili y in disman ling lines [25].
Table 3 Recyclabili y Me ics – Time, Au oma ion Compa ibili y, Ma e ial Reco e y Ra e
Pack Type
A e age
Disassembly
Time (min)
Au oma ion
Compa ibili y<b > (0–
5)
Ma e ial
Reco e y
Ra e (%)
Rema ks
Modula (High-
end)
25–40
4.5
85–90
Fas disassembly wi h
s anda dized as ene s; sui able
o obo ic so ing and eco e y.
Modula
(S anda d)
45–60
3.5
75–85
Requi es semi-au oma ed
p ocesses; some manual
in e en ion s ill necessa y.
Semi-Modula
60–90
2.5
60–75
Mixed in e aces; adhesi es and
limi ed s anda diza ion inc ease
p ocessing ime.
In eg a ed
120–180
1.5
40–55
Adhesi es, welded join s, and
unclea sepa a ion pa hs hinde
disman ling and eco e y.
Po ed/Sealed
>180
0.5
<40
Des uc i e disassembly o en
equi ed; minimal au oma ion
po en ial and high was e.
Table 3 p esen s key ecyclabili y me ics ac oss modula and in eg a ed pack designs. Me ics include a e age
disassembly ime, compa ibili y wi h au oma ed ex ac ion sys ems, and o al eco e able ma e ial mass. Modula
designs consis en ly ou pe o m in eg a ed a chi ec u es, pa icula ly in au oma ion eadiness and sa e handling sco es
[26].
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2220
In o ali y, he ision o u u e modula ba e y sys ems is one whe e design, diagnos ics, and ield execu ion a e
seamlessly uni ied—pa ing he way o a sa e , sma e , and mo e sus ainable elec i ied anspo a ion ecosys em.
7. Conclusion
The e olu ion o elec ic ehicle (EV) ba e y sys ems has igh ly p io i ized ene gy densi y, powe e iciency, and
he mal s abili y. Howe e , as EV adop ion ma u es and ehicles each b oade ma ke s, ano he dimension is ising o
equal s a egic impo ance: se iceabili y. This s udy has demons a ed ha modula ba e y pack design is no me ely
a s uc u al con enience—i is a ans o ma i e enable o sa e , as e , and mo e cos -e ec i e ield se icing. Th ough
modula con igu a ions, echnicians gain imp o ed access, diagnos ic cla i y, and ope a ional con idence, while
manu ac u e s bene i om educed down ime, enhanced b and us , and scalable main enance in as uc u es.
Modula ba e y packs empowe se ice ne wo ks o isola e aul s quickly, swap componen s wi hou ull-pack
eplacemen , and implemen a ge ed in e en ions a he han eso ing o labo -in ensi e disassembly. These
ad an ages ex end beyond indi idual epai s. They eshape wa an y economics, suppo eme ging euse ma ke s, and
s eng hen he long- e m sus ainabili y o EV pla o ms. F om as ene s o in e locks, om connec o logic o
communica ion buses, he g anula choices embedded in modula design dic a e how sa ely and e icien ly a ba e y can
be main ained h oughou i s li ecycle.
Ye , he con e sa ion a ound EV ba e y inno a ion has his o ically been domina ed by me ics such as ange,
accele a ion, and cha ging ime. These a e impo an , bu hey ell only pa o he s o y. A high-pe o mance ba e y
ha canno be sa ely o economically se iced becomes a liabili y—one ha e odes cus ome sa is ac ion, ele a es o al
cos o owne ship, and unde mines he en i onmen al p omise o elec i ica ion. Se ice design mus be ea ed wi h
he same igo and o esigh as pe o mance enginee ing, pa icula ly as he ma ke mo es owa d comme cial lee s,
sha ed mobili y, and igh - o- epai ad ocacy.
The way o wa d is clea . OEMs, ba e y de elope s, and s anda ds bodies mus e hink pack design om he ield
echnician upwa d. This equi es embedding se iceabili y KPIs in o design e iews, le e aging echnician eedback in
p o o yping, and emb acing au oma ion- eady modula layou s ha an icipa e end-o -li e eali ies. Sma as ene s,
p edic i e diagnos ics, and echnician-sa e in e aces should be s anda d ea u es—no a e hough s.
In he ansi ion o elec ic mobili y, ba e ies a e no longe jus componen s; hey a e dynamic, da a- ich, mission-
c i ical sys ems. Designing hem o be se iceable is no op ional—i is ounda ional o eliabili y, sa e y, and
sus ainabili y. The nex gene a ion o EV ba e ies mus no only pe o m a he on ie — hey mus be eady o he
hands ha will keep hem unning.
Re e ences
[1] A o a S, Kapoo A, Shen W. Applica ion o obus design me hodology o ba e y packs o elec ic ehicles:
Iden i ica ion o c i ical echnical equi emen s o modula a chi ec u e. Ba e ies. 2018 Jun 30;4(3):30.
[2] Liu Z, Tan C, Leng F. A eliabili y-based design concep o li hium-ion ba e y pack in elec ic ehicles. Reliabili y
Enginee ing & Sys em Sa e y. 2015 Feb 1;134:169-77.
[3] Belinga di G, Sca ina A. Ba e y pack and unde body: in eg a ion in he s uc u e design o ba e y elec ic
ehicles—challenges and solu ions. Vehicles. 2023 Ap 23;5(2):498-514.
[4] Sanka an G, Venka esan S. S anda diza ion o elec ic ehicle ba e y pack geome y o m ac o s o passenge
ca segmen s in India. Jou nal o Powe Sou ces. 2021 Aug 1;502:230008.
[5] Adebowale OJ. Ba e y module balancing in comme cial EVs: s a egies o pe o mance and longe i y. In J Eng
Technol Res Manag. 2025 Ap ;9(4):162.
[6] Deng J, Bae C, Denlinge A, Mille T. Elec ic ehicles ba e ies: equi emen s and challenges. Joule. 2020 Ma
18;4(3):511-5.
[7] Chew XQ, Tan WJ, Sakunda ini N, Chin CM, Ga g A, Singh S. Eco-Design o Elec ic Vehicle Ba e y Pack o Ease
o Disassembly. InEnabling Indus y 4.0 h ough Ad ances in Mecha onics: Selec ed A icles om iM3F 2021,
Malaysia 2022 May 15 (pp. 71-83). Singapo e: Sp inge Na u e Singapo e.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2221
[8] Bo i AH, A un Sanjey K ushna SR, Eashwa MV, Sheka H, Sidha dh CR, Swa hika OG. Swappable Ba e y Pack
Sys em o Elec ic Two‐Wheele s: Design, In as uc u e, and Implemen a ion. Resilien Communi y Mic og ids.
2025 May 6:31-80.
[9] Aiello G, Qua an a S, Ce a A, Inguan a R. Op imiza ion o u ban deli e y sys ems based on elec ic assis ed ca go
bikes wi h modula ba e y size, aking in o accoun he se ice equi emen s and he speci ic ope a ional
con ex . Ene gies. 2021 Aug 1;14(15):4672.
[10] Joseph Chukwunweike, And ew Nii Anang, Adewale Abayomi Adeni an and Jude Dike. Enhancing manu ac u ing
e iciency and quali y h ough au oma ion and deep lea ning: add essing edundancy, de ec s, ib a ion analysis,
and ma e ial s eng h op imiza ion Vol. 23, Wo ld Jou nal o Ad anced Resea ch and Re iews. GSC Online P ess;
2024. A ailable om: h ps://dx.doi.o g/10.30574/wja .2024.23.3.2800
[11] Onoda S, Emadi A. PSIM-based modeling o au omo i e powe sys ems: con en ional, elec ic, and hyb id elec ic
ehicles. IEEE T ansac ions on Vehicula Technology. 2004 Ma 22;53(2):390-400.
[12] Pesa an A, Roman L, Kincaide J. Elec ic Vehicle Li hium-Ion Ba e y Li e Cycle Managemen . Na ional Renewable
Ene gy Labo a o y (NREL), Golden, CO (Uni ed S a es); 2023 Feb 1.
[13] Chukwunweike JN, Chikwado CE, Ib ahim A, Adewale AA In eg a ing deep lea ning, MATLAB, and ad anced CAD
o p edic i e oo cause analysis in PLC sys ems: A mul i- ool app oach o enhancing indus ial au oma ion and
eliabili y. Wo ld Jou nal o Ad ance Resea ch and Re iew GSC Online P ess; 2024. p. 1778–90. A ailable om:
h ps://dx.doi.o g/10.30574/wja .2024.23.2.2631
[14] Guo R, Guan W, Valla i M, Zhang W. Modula au onomous elec ic ehicle scheduling o cus omized on-demand
bus se ices. IEEE T ansac ions on In elligen T anspo a ion Sys ems. 2023 May 9;24(9):10055-66.
[15] Lee JK, Yeo JS, Jang MC, Yoon JM, Kang DM. Mechanical du abili y and elec ical du abili y o an aluminium-
lamina ed li hium-ion polyme ba e y pack o a hyb id elec ic ehicle. P oceedings o he Ins i u ion o
Mechanical Enginee s, Pa D: Jou nal o Au omobile Enginee ing. 2010 Jun 1;224(6):765-73.
[16] Adepoju Adekola Geo ge, Adepoju Daniel Adeyemi. Bioma ke disco e y in clinical biology enhances ea ly
disease de ec ion, p ognosis, and pe sonalized ea men s a egies. Depa men o Heal h In o ma ics, Indiana
Uni e si y Indianapolis, Indiana, USA; 2024. doi: h ps://doi.o g/10.5281/zenodo.15244690
[17] Ejedegba Emmanuel. Inno a i e solu ions o ood secu i y and ene gy ansi ion h ough sus ainable e ilize
p oduc ion echniques. Wo ld Jou nal o Ad anced Resea ch and Re iews. 2024 Dec;24(3):1679–1695. A ailable
om: h ps://doi.o g/10.30574/wja .2024.24.3.3877
[18] Tan WJ, Chin CM, Ga g A, Gao L. A hyb id disassembly amewo k o disassembly o elec ic ehicle ba e ies.
In e na ional Jou nal o Ene gy Resea ch. 2021 Ap ;45(5):8073-82.
[19] Chukwunweike Joseph, Salaudeen Habeeb Dolapo. Ad anced Compu a ional Me hods o Op imizing Mechanical
Sys ems in Mode n Enginee ing Managemen P ac ices. In e na ional Jou nal o Resea ch Publica ion and
Re iews. 2025 Ma ;6(3):8533-8548. A ailable om: h ps://ij p .com/uploads/V6ISSUE3/IJRPR40901.pd
[20] Ha pe G, Somme ille R, Kend ick E, D iscoll L, Sla e P, S olkin R, Wal on A, Ch is ensen P, Heid ich O, Lambe
S, Abbo A. Recycling li hium-ion ba e ies om elec ic ehicles. na u e. 2019 No ;575(7781):75-86.
[21] Rao GV, Bha a hi MA, Kuma S, Mu ali B, Rao VV. Modula ba e y managemen sys em a chi ec u e o
comme cial ehicle applica ions. Ma e ials Today: P oceedings. 2023 Jan 1;92:1538-43.
[22] Beghi M, B aghin F, Ro eda L. Enhancing disassembly p ac ices o elec ic ehicle ba e y packs: a na a i e
comp ehensi e e iew. Designs. 2023 Sep 22;7(5):109.
[23] Ugwueze VU, Chukwunweike JN. Con inuous in eg a ion and deploymen s a egies o s eamlined De Ops in
so wa e enginee ing and applica ion deli e y. In J Compu Appl Technol Res. 2024;14(1):1–24.
doi:10.7753/IJCATR1401.1001.
[24] Kuma R. Li hium-Ion ba e y o elec ic anspo a ion: Types, componen s, pack design, and echnology.
InEne gy E icien Vehicles 2024 (pp. 156-172). CRC P ess.
[25] Enemosah A. In elligen Decision Suppo Sys ems o Oil and Gas Con ol Rooms Using Real-Time AI In e ence.
In e na ional Jou nal o Enginee ing Technology Resea ch & Managemen . 2021 Dec;5(12):236–244. A ailable
om: h ps://doi.o g/10.5281/zenodo.15363753
[26] Rami ez-Meye s K, Rawn B, Whi ac e JF. A s a is ical assessmen o he s a e-o -heal h o LiFePO4 cells ha es ed
om a hyb id-elec ic ehicle ba e y pack. Jou nal o Ene gy S o age. 2023 Ma 1;59:106472.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 2205-2222
2222
[27] Pa kinson L, Cheung WM. P edic ing he mos economical op ion o managing elec ic ehicle ba e y a he end
o i s se iceable li e. Cleane Enginee ing and Technology. 2024 Dec 1;23:100829.
[28] Adegboye O. In eg a ing enewable ene gy in ba e y giga ac o y ope a ions: Techno-economic analysis o ne -
ze o manu ac u ing in eme ging ma ke s. Wo ld J Ad Res Re . 2023;20(02):1544–1562. doi:
h ps://doi.o g/10.30574/wja .2023.20.2.2170.
[29] Rawa S, Choudhu y S, Saini DK, Gup a YC. Ad ancemen s and Cu en De elopmen s in In eg a ed Sys em
A chi ec u es o Li hium-Ion Ba e ies o Elec ic Mobili y. Wo ld Elec ic Vehicle Jou nal. 2024 Aug
28;15(9):394.
[30] Enemosah A. Implemen ing De Ops Pipelines o Accele a e So wa e Deploymen in Oil and Gas Ope a ional
Technology En i onmen s. In e na ional Jou nal o Compu e Applica ions Technology and Resea ch.
2019;8(12):501–515. A ailable om: h ps://doi.o g/10.7753/IJCATR0812.1008
[31] Blom C, Sjög en E. Design o a swappable ba e y pack.
[32] Ejedegba Emmanuel Ochuko. Syne gizing e ilize inno a ion and enewable ene gy o imp o ed ood secu i y
and clima e esilience. Global En i onmen al Nexus and G een Policy Ini ia i es. 2024 Dec;5(12):1–12. A ailable
om: h ps://doi.o g/10.55248/gengpi.5.1224.3554
[33] O'Connell TC, Raczkowski BC, Am hein M, Wells JR, Ta e nini MJ, K ein PT, Banne J. A modula powe sys em
a chi ec u e o mili a y and comme cial elec ic ehicles. SAE Technical Pape ; 2010 No 2.
[34] Wa ne JT. The handbook o li hium-ion ba e y pack design: Chemis y, componen s, ypes, and e minology.
Else ie ; 2024 May 14.
[35] A idsson J, Penndal J. Modula i y in Chassis Design An in es iga ion o modula p oduc a chi ec u e o a
chassis o an au onomous elec ic uck.
[36] Adegboye Omo ayo Abayomi. De elopmen o a pollu ion index o po s. In J Sci Res A ch. 2021;2(1):233–258.
A ailable om: h ps://doi.o g/10.30574/ijs a.2021.2.1.0017
[37] Enemosah A, Chukwunweike J. Nex -Gene a ion SCADA A chi ec u es o Enhanced Field Au oma ion and Real-
Time Remo e Con ol in Oil and Gas Fields. In J Compu Appl Technol Res. 2022;11(12):514–29.
doi:10.7753/IJCATR1112.1018.
[38] Chukwunweike J, Lawal OA, A ogundade JB, Alade B. Na iga ing e hical challenges o explainable AI in
au onomous sys ems. In e na ional Jou nal o Science and Resea ch A chi e. 2024;13(1):1807–19.
doi:10.30574/ijs a.2024.13.1.1872. A ailable om: h ps://doi.o g/10.30574/ijs a.2024.13.1.1872.
[39] Adegboye O, Ola eju AP, Okolo IP. Localized ba e y ma e ial p ocessing hubs: assessing indus ial policy o
g een g ow h and supply chain so e eign y in he Global Sou h. In J Compu Appl Technol Res. 2024;13(12):38–
53. doi:10.7753/IJCATR1312.1006.
[40] Adegboye Omo ayo, A owosegbe Oluwakemi Be y, P ospe Olisedeme. AI Op imized Supply Chain Mapping o
G een Ene gy S o age Sys ems: P edic i e Risk Modeling Unde Geopoli ical and Clima e Shocks 2024.
In e na ional Jou nal o Ad ance Resea ch Publica ion and Re iews. 2024 Dec;1(4):63-86. A ailable om:
h ps://ija p .com/uploads/V1ISSUE4/IJARPR0206.pd
[41] Ejedegba Emmanuel Ochuko. Ad ancing g een ene gy ansi ions wi h eco- iendly e ilize solu ions
suppo ing ag icul u al sus ainabili y. In e na ional Resea ch Jou nal o Mode niza ion in Enginee ing,
Technology and Science. 2024 Dec;6(12):1970. A ailable om: h ps://www.doi.o g/10.56726/IRJMETS65313