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Macro-/Micro-Design of Electrochemical Energy Battery Based on Machine Learning
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Jinjin LI, Junfei CAI, Yanqiang HAN, Zhilong WANG, An CHEN, Simin YE
Journal of the Chinese Ceramic Society | 2023, 51(2) : 438 - 451
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Journal of the Chinese Ceramic Society | 2023, 51(2): 438-451
• Review •
Macro-/Micro-Design of Electrochemical Energy Battery Based on Machine Learning
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Jinjin LI, Junfei CAI, Yanqiang HAN, Zhilong WANG, An CHEN, Simin YE
Affiliations
  • Shanghai Jiao Tong University and Electrical Engineering, Key Laboratory of Film and Microfabrication, Ministry of Education, Shanghai 200240, China

    • LI Jinjin (1985-), female, Ph.D., Professor. E-mail:

About Author:

LI Jinjin (1985-), female, Ph.D., Professor. E-mail:

Published: 2023-02-20 doi: 10.14062/j.issn.0454-5648.20220639
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The energy storage systems are an important basis for electric vehicles and electronic devices. The existing battery design based on machine learning is able to quickly connect the complex relationship among material microstructure, material properties, and battery macroscopic properties. This review represented the applications and prospects of machine learning in micro-material design and state estimation of batteries. The data sources of machine learning battery design, advantages and disadvantages of algorithms and their application scenarios in the battery field, related innovative work in recent years and their prospects were discussed. This review can provide a reference for machine learning in the macro-/micro-design of energy storage systems.

machine learning  /  data mining  /  battery materials  /  battery state
李金金, 蔡俊飞, 韩彦强, 汪志龙, 陈安, 叶思敏. 基于机器学习的电化学能源电池宏微观设计. 硅酸盐学报, 2023 , 51 (2) : 438 -451 . DOI: 10.14062/j.issn.0454-5648.20220639
Jinjin LI, Junfei CAI, Yanqiang HAN, Zhilong WANG, An CHEN, Simin YE. Macro-/Micro-Design of Electrochemical Energy Battery Based on Machine Learning[J]. Journal of the Chinese Ceramic Society, 2023 , 51 (2) : 438 -451 . DOI: 10.14062/j.issn.0454-5648.20220639
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Year 2023 volume 51 Issue 2
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doi: 10.14062/j.issn.0454-5648.20220639
  • Receive Date：2022-08-04
  • Online Date：2026-10-20
  • Published：2023-02-20
Article Data
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  • Received：2022-08-04
  • Revised：2022-08-09
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Affiliations
    Shanghai Jiao Tong University and Electrical Engineering, Key Laboratory of Film and Microfabrication, Ministry of Education, Shanghai 200240, China
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表12种不同金属材料的力学参数
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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