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Abstract Although the lithium-ion batteries (LIBs) have been increasingly applied in consumer electronics, electric vehicles, and smart grid, they still face great challenges from the continuously improving requirements of energy density, power density, service life, and safety. To solve these issues, various studies have been conducted surrounding the battery design and management methods in recent decades. In the hope of providing some inspirations to the research in this field, the state of the art of design and management methods for LIBs are reviewed here from the perspective of process systems engineering. First, different types of battery models are summarized extensively, including electrical model and multi-physics coupled model, and the parameter identification methods are introduced correspondingly. Next, the model based battery design methods are reviewed briefly on three different scales, namely, electrode scale, cell scale, and pack scale. Then, the battery model based battery management methods, especially the state estimation methods with different model types are thoroughly compared. The key science and technology challenges for the development of battery systems engineering are clarified finally.
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Received: 01 November 2019
Revised: 13 April 2020
Accepted manuscript online:
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PACS:
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82.47.Aa
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(Lithium-ion batteries)
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82.47.Wx
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(Electrochemical engineering)
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Fund: Project supported by the National Key R&D Program of China (Grant No. 2018YFB0905000) and the National Natural Science Foundation of China (Grant No. 21978166). |
Corresponding Authors:
Yi-Jun He
E-mail: heyijun@sjtu.edu.cn
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Cite this article:
Qian-Kun Wang(王乾坤), Jia-Ni Shen(沈佳妮), Yi-Jun He(贺益君), Zi-Feng Ma(马紫峰) Design and management of lithium-ion batteries: A perspective from modeling, simulation, and optimization 2020 Chin. Phys. B 29 068201
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