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Review on Energy Management Strategies for Hybrid Power Systems in New Energy Vehicles
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Chengqian Ji, Lixin Wang, Xuejiao Chen, Hailong Zhang, Kunkun Lü
Automotive Digest | 2026, (4) : 1 - 9
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Automotive Digest | 2026, (4): 1-9
Review on Energy Management Strategies for Hybrid Power Systems in New Energy Vehicles
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Chengqian Ji, Lixin Wang, Xuejiao Chen, Hailong Zhang, Kunkun Lü
Affiliations
  • School of Intelligent Manufacturing, Xinjiang Vocational University, Urumqi 830013
Published: 2026-04-05 doi: 10.19822/j.cnki.1671-6329.20240026
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Through the coordinated control of the internal combustion engine and the electric motor, hybrid power systems achieve real-time power distribution optimization, thereby enhancing fuel economy and mitigating harmful emissions. To elucidate the evolutionary trajectory of Energy Management Strategy (EMS), the paper systematically reviews recent research achievements based on a literature analysis method. Existing strategies are classified into 4 categories: rule-based, global optimization, multi-objective optimization, and machine learning. Based on specific cases, the control principles, optimization objectives, implementation conditions, and performance of each strategy are elucidated. Furthermore, this paper summarizes the development laws and technical bottlenecks through a comparative analysis and outlines future research directions, providing a valuable reference for technological innovation and sustainable development in the new energy vehicle industry.

Energy Management Strategy (EMS)  /  Dynamic programming  /  Multi-objective  /  Reinforcement Learning
纪承乾, 王立新, 陈雪娇, 张海龙, 吕昆昆. 新能源汽车混合动力系统能量管理策略综述. 汽车文摘, 2026 , (4) : 1 -9 . DOI: 10.19822/j.cnki.1671-6329.20240026
Chengqian Ji, Lixin Wang, Xuejiao Chen, Hailong Zhang, Kunkun Lü. Review on Energy Management Strategies for Hybrid Power Systems in New Energy Vehicles[J]. Automotive Digest, 2026 , (4) : 1 -9 . DOI: 10.19822/j.cnki.1671-6329.20240026
Year 2026 volume Issue 4
149
32
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doi: 10.19822/j.cnki.1671-6329.20240026
  • Online Date:2026-09-23
  • Published:2026-04-05
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    School of Intelligent Manufacturing, Xinjiang Vocational University, Urumqi 830013
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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