SPECIAL ISSUE RESEARCH ARTICLE
Intelligent optimization methodology of battery pack for electric vehicles: A multidisciplinary perspective
Wei Li,
Akhil Garg,
Mi Xiao,
Xiongbin Peng,
My Loan Le Phung,
Van Man Tran,
Liang Gao,
Wei Li
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorAkhil Garg
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorMi Xiao
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorXiongbin Peng
Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou, China
Search for more papers by this authorMy Loan Le Phung
Applied Physical Chemistry Laboratory, Department of Physical Chemistry, Viet Nam National University of Ho Chi Minh City (VNUHCM), Ho Chi Minh City, Vietnam
Search for more papers by this authorVan Man Tran
Applied Physical Chemistry Laboratory, Department of Physical Chemistry, Viet Nam National University of Ho Chi Minh City (VNUHCM), Ho Chi Minh City, Vietnam
Search for more papers by this authorCorresponding Author
Liang Gao
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Correspondence
Liang Gao, State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Email: [email protected]
Search for more papers by this authorWei Li,
Akhil Garg,
Mi Xiao,
Xiongbin Peng,
My Loan Le Phung,
Van Man Tran,
Liang Gao,
Wei Li
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorAkhil Garg
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorMi Xiao
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Search for more papers by this authorXiongbin Peng
Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou, China
Search for more papers by this authorMy Loan Le Phung
Applied Physical Chemistry Laboratory, Department of Physical Chemistry, Viet Nam National University of Ho Chi Minh City (VNUHCM), Ho Chi Minh City, Vietnam
Search for more papers by this authorVan Man Tran
Applied Physical Chemistry Laboratory, Department of Physical Chemistry, Viet Nam National University of Ho Chi Minh City (VNUHCM), Ho Chi Minh City, Vietnam
Search for more papers by this authorCorresponding Author
Liang Gao
State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Correspondence
Liang Gao, State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Email: [email protected]
Search for more papers by this authorThis article is an extended and revised article presented at the International Conference on Sustainable Energy and Green Technology 2019 (SEGT 2019) on 11-14 December 2019 in Bangkok, Thailand.
Funding information: National Natural Science Foundation of China, Grant/Award Numbers: 51721092, 51675196; Program for HUST Academic Frontier Youth Team, Grant/Award Number: 2017QYTD04; Program for HUST Graduate Innovation and Entrepreneurship Fund, Grant/Award Number: 2019YGSCXCY037
Summary
Past studies focused on proposing new materials for batteries components, state of health (SOH) prediction, thermal design, equivalent circuit modeling, and so on. Those studies have been implemented on individual basis on a single battery or battery pack. However, there is hardly any research found that encompasses all the multidisciplinary aspects (such as materials, SOH, intelligent configuration [assembly], thermal design, mechanical safety, and recycling of materials and pack) simultaneously for the battery pack design of electric vehicles. This research article proposes a synthetic methodology for an advanced design of battery pack and its components by incorporating optimal scenario of materials selection for battery electrodes, SOH estimation, configurations (assembly) of cells, thermal (air and liquid cooling) design, battery pack casing mechanical safety, and recycling aspects of battery and battery pack. The problem is divided into the several parts and methodology for each is proposed. Cumulative advantages of the methodology with six future critical directions are discussed in the end.
CONFLICT OF INTEREST
The authors declare no potential conflict of interest.
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