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Review of battery life prediction and energy control management strategies for hybrid electric vehicles
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Science & Technology Review | 2024, 42(2) : 79 - 89
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Science & Technology Review | 2024, 42(2): 79-89
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Review of battery life prediction and energy control management strategies for hybrid electric vehicles
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WU Xudong1, WANG Jingyue1,2, XUE Chunwei1, ZHENG Junwen1, LEI Hu1, WANG Junnian2
Affiliations
    1. School of Automobile and Transportation, Shenyang Ligong University, Shenyang 110159, China;
    2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China
Published: 2024-01-28 doi: 10.3981/j.issn.1000-7857.2024.02.008
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At present, environmental pollution and energy shortage are becoming increasingly serious, and the automobile industry is also moving in the direction of energy conservation and environmental protection. In order to promote the research on the power performance and fuel economy of hybrid electric vehicles, this paper briefly analyzes the working principle of the lithium-ion battery and the factors affecting the life of the lithium-ion battery, summarizes the research status of different methods for predicting the remaining life of the lithium-ion battery and analyzes their advantages and disadvantages. According to the working mode of hybrid electric vehicles, the working mechanism of energy control management strategies are briefly explained, and the development status of energy control management strategies based on rules, optimization and artificial intelligence is described respectively. The influence of battery life control management strategy on vehicle economic performance is discussed. According to the relevant literature analysis, it is found that the battery life prediction method combining multiple methods is more superior, and the energy control management strategy considering battery life has a better effect on improving the fuel economy of hybrid electric vehicles. The problems of battery life prediction and energy control management strategies for hybrid electric vehicles are summarized and the future development direction is forecasted.
hybrid electric vehicle  /  lithium-ion battery  /  prediction of residual life  /  energy management strategy
WU Xudong, WANG Jingyue, XUE Chunwei, ZHENG Junwen, LEI Hu, WANG Junnian. Review of battery life prediction and energy control management strategies for hybrid electric vehicles[J]. Science & Technology Review, 2024 , 42 (2) : 79 -89 . DOI: 10.3981/j.issn.1000-7857.2024.02.008
Year 2024 volume 42 Issue 2
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doi: 10.3981/j.issn.1000-7857.2024.02.008
  • Receive Date:2022-05-18
  • Online Date:2024-04-15
  • Published:2024-01-28
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  • Received:2022-05-18
  • Revised:2023-07-30
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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