TY - JOUR
T1 - Smart Battery Management Technology in Electric Vehicle Applications
T2 - Analytical and Technical Assessment toward Emerging Future Directions
AU - Hossain Lipu, Molla Shahadat
AU - Miah, Md Sazal
AU - Ansari, Shaheer
AU - Wali, Safat B.
AU - Jamal, Taskin
AU - Elavarasan, Rajvikram Madurai
AU - Kumar, Sachin
AU - Naushad Ali, M. M.
AU - Sarker, Mahidur R.
AU - Aljanad, A.
AU - Tan, Nadia M.L.
N1 - Funding Information:
The authors acknowledge the financial support provided by the Ministry of Science & Technology under the National Key R&D Program of China, Grant 2021YFE0108600. Special thanks to Department of Electrical and Electronic Engineering, Green University of Bangladeshfor providing collaborative support.
Publisher Copyright:
© 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - Electric vehicles (EVs) have received widespread attention in the automotive industry as the most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, the effectiveness of EVs can be affected due to battery health degradation and performance deterioration with lifespan. Therefore, an advanced and smart battery management technology is essential for accurate state estimation, charge balancing, thermal management, and fault diagnosis in enhancing safety and reliability as well as optimizing an EV’s performance effectively. This paper presents an analytical and technical evaluation of the smart battery management system (BMS) in EVs. The analytical study is based on 110 highly influential articles using the Scopus database from the year 2010 to 2020. The analytical analysis evaluates vital indicators, including current research trends, keyword assessment, publishers, research categorization, country analysis, authorship, and collaboration. The technical assessment examines the key components and functions of BMS technology as well as state-of-the-art methods, algorithms, optimization, and control surgeries used in EVs. Furthermore, various key issues and challenges along with several essential guidelines and suggestions are delivered for future improvement. The analytical analysis can guide future researchers in enhancing the technologies of battery energy storage and management for EV applications toward achieving sustainable development goals.
AB - Electric vehicles (EVs) have received widespread attention in the automotive industry as the most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, the effectiveness of EVs can be affected due to battery health degradation and performance deterioration with lifespan. Therefore, an advanced and smart battery management technology is essential for accurate state estimation, charge balancing, thermal management, and fault diagnosis in enhancing safety and reliability as well as optimizing an EV’s performance effectively. This paper presents an analytical and technical evaluation of the smart battery management system (BMS) in EVs. The analytical study is based on 110 highly influential articles using the Scopus database from the year 2010 to 2020. The analytical analysis evaluates vital indicators, including current research trends, keyword assessment, publishers, research categorization, country analysis, authorship, and collaboration. The technical assessment examines the key components and functions of BMS technology as well as state-of-the-art methods, algorithms, optimization, and control surgeries used in EVs. Furthermore, various key issues and challenges along with several essential guidelines and suggestions are delivered for future improvement. The analytical analysis can guide future researchers in enhancing the technologies of battery energy storage and management for EV applications toward achieving sustainable development goals.
KW - battery equalization
KW - battery storage
KW - battery thermal management
KW - electric vehicle
KW - state of charge
KW - state of health
UR - http://www.scopus.com/inward/record.url?scp=85145663594&partnerID=8YFLogxK
U2 - 10.3390/batteries8110219
DO - 10.3390/batteries8110219
M3 - Review article
AN - SCOPUS:85145663594
SN - 2313-0105
VL - 8
JO - Batteries
JF - Batteries
IS - 11
M1 - 219
ER -
