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Driving the future : a comprehensive review of automotive battery management system technologies, and future trends
ID
Rahmani, Pegah
(
Avtor
),
ID
Chakraborty, Sajib
(
Avtor
),
ID
Mele, Igor
(
Avtor
),
ID
Katrašnik, Tomaž
(
Avtor
),
ID
Bernhard, Stanje
(
Avtor
),
ID
Pruefling, Stephan
(
Avtor
),
ID
Wilkins, Steven
(
Avtor
),
ID
Hegazy, Omar
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(22,51 MB)
MD5: 6E10A59E60A7318DC3FB059965DDF192
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S0378775324017798
Galerija slik
Izvleček
To date, a variety of Battery Energy Storage Systems (BESS) have been utilized in the EV industry, with lithium-ion (Li-ion) batteries emerging as a dominant choice. Li-ion batteries have not only captured the automotive market but have also exponentially been used in stationary energy storage sectors, thanks to their extended service life, high power, and volumetric density. The surge in Li-ion battery demand, increasing by approximately 65 % from 330 GWh in 2021 to 550 GWh in 2022, is primarily attributed to the exponential growth in electric vehicles sales. However, despite extensive research in academia and industry on Battery Management Systems (BMS), several gaps persist. Challenges include optimizing battery utilization within real-world operational limits, adapting BMS concerning chemical changes within batteries, e.g., aging, addressing the complexities of cell balancing in future battery packs, restricting fast charging below room temperature, limitations in fault tolerance capabilities, and the tendency to oversize for safety margins. Furthermore, the integration of efficient models (i.e., physics/data) with cutting-edge sensing technology remains a challenge as current BMS are often isolated and disconnected, narrowing the operational limits of battery systems for EV and stationary energy storage applications. This paper conducts a comprehensive review covering all possible aspects of BMS soft- and hardware solutions for EV applications, focusing on technical performance, safety, and reliability. Topics covered physics- and data-based modelling approaches for edge and cloud, state-of-X (SoX) estimation methods, charging strategies, balancing techniques, fault diagnostics, safety considerations, warranty management, and Vehicle-to-Everything (V2X) capabilities. Additionally, the paper sheds light on emerging technologies and future opportunities in this related field.
Jezik:
Angleški jezik
Ključne besede:
advanced battery management systems
,
battery blanacing systems
,
digital twins
Vrsta gradiva:
Članek v reviji
Tipologija:
1.02 - Pregledni znanstveni članek
Organizacija:
FS - Fakulteta za strojništvo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2025
Št. strani:
41 str.
Številčenje:
Vol. 629, [art. no.] 235827
PID:
20.500.12556/RUL-166077
UDK:
621.3
ISSN pri članku:
0378-7753
DOI:
10.1016/j.jpowsour.2024.235827
COBISS.SI-ID:
219863555
Datum objave v RUL:
19.12.2024
Število ogledov:
602
Število prenosov:
143
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Journal of power sources
Skrajšan naslov:
J. power sources
Založnik:
Elsevier
ISSN:
0378-7753
COBISS.SI-ID:
25782784
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Projekti
Financer:
EC - European Commission
Program financ.:
HE
Številka projekta:
101103898
Naslov:
NEXT-generation physics and data-based Battery Management Systems for optimised battery utilization
Akronim:
NEXTBMS
Financer:
EC - European Commission
Program financ.:
HE
Številka projekta:
101137975
Naslov:
Situationally aware innovative battery management system for next generation vehicles
Akronim:
InnoBMS
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