期刊
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
卷 6, 期 2, 页码 427-438出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TTE.2020.2977092
关键词
Batteries; Heating systems; Protocols; State of charge; Computational modeling; Electronic countermeasures; Aging; Electric vehicles (EVs); electrothermal-aging model; Lithium-ion (Li-ion) battery; multiobjective optimization; multistage charging
资金
- National Natural Science Foundation of China [51875054, U1864212]
- Chongqing Natural Science Foundation for Distinguished Young Scholars [cstc2019jcyjjq0010]
- Chongqing Science and Technology Bureau, China
Lithium-ion (Li-ion) batteries have been extensively used in electric vehicles, portable electronics, cell phones, and laptops. The charging protocol, as one of the most critical technologies for Li-ion battery systems, has a significant impact on battery performance. Charging current affects battery degradation and charging time, and therefore, it needs to be carefully optimized. To this end, a novel charging protocol using a series of constant charging currents has been developed, which considers the charging time and the battery capacity fade simultaneously. These two conflicting charging objectives are traded off by solving a multiobjective optimization problem based on battery electrothermal-aging behavior. Particle swarm optimization has been applied to obtain the optimal charging current profile. Three optimal charging strategies for minimum charging time, minimum battery aging, and balanced charging performance are obtained by changing the weight factor. The proposed balanced charging is capable of reducing the charging time significantly with a negligible increase in capacity degradation compared with the 0.5 C constant-current constant-voltage (CC-CV) strategy recommended by the manufacturer.
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