Abstract
This paper proposes a complex system optimization method to obtain an optimal battery charging strategy. First, a real-world lithium-ion battery charging model is built as a complex system problem, which includes electric subsystem and thermal subsystem. The optimization objectives of electric subsystem includes battery charging time and energy loss, and the optimization objectives of thermal subsystem includes battery internal temperature rise and surface temperature rise. Then a called biogeography-based complex system optimization (BBO/Complex) algorithm is introduced, which is a heuristic method for complex system optimization. Finally, BBO/Complex is applied to the complex system of battery charging strategy, and the results show that the proposed method is a competitive algorithm for solving batter charging problem studied in this paper.
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Acknowledgments
This research was supported by the National Natural Science Foundation of China under Grant Nos. 61640316 and 61633016, and the Fund for China Scholarship Council under Grant No. 201608330109.
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Ma, H., You, P., Liu, K., Yang, Z., Fei, M. (2017). Optimal Battery Charging Strategy Based on Complex System Optimization. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_37
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DOI: https://doi.org/10.1007/978-981-10-6364-0_37
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