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Research on Adaptive Energy Recovery Control for Electric Vehicles Based on Multi-Source Information Fusion
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Ke Zeng, Xu Cai, Zhirong Zhou, Hongzhang Fang, Ming Zhang, Ya Zhang, Bo Wu, Wanting Li
Automotive Digest | 2026, (10) : 23 - 30
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Automotive Digest | 2026, (10): 23-30
Research on Adaptive Energy Recovery Control for Electric Vehicles Based on Multi-Source Information Fusion
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Ke Zeng, Xu Cai, Zhirong Zhou, Hongzhang Fang, Ming Zhang, Ya Zhang, Bo Wu, Wanting Li
Affiliations
  • Voyah Automobile Technology Co., Ltd., Wuhan 430056
Published: 2026-10-05 doi: 10.19822/j.cnki.1671-6329.20260160
Outline
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An adaptive regenerative braking control method based on multi-source information fusion is proposed to address the fixed recovery intensity of conventional electric vehicles, insufficient adaptability to complex conditions and degraded deceleration consistency when battery recovery capability is limited. Navigation speed limits, preceding and multiple dynamic targets, road grade, road-surface state and available battery recovery power are integrated in a perception-decision-execution architecture. Signal validity judgment, dynamic regenerative torque calculation and electro-hydraulic compensation are then designed. The hydraulic compensation is activated only when the available battery recovery power cannot meet the deceleration demand, thereby improving redundancy and deceleration consistency. Road tests on the Voyah Dreamer vehicle model show that the proposed method improves energy consumption by 4.02%, reduces braking frequency by 44.64%, and limits deceleration fluctuation within ±0.02 g under multi-speed-limit and mildly congested conditions. The method improves energy economy and drivability while maintaining vehicle safety.

Electric vehicles  /  Regenerative braking  /  Multi-source information fusion  /  Electro-hydraulic coordination  /  Predictive control  /  Safety redundany
曾柯, 蔡旭, 周志荣, 方虹璋, 张明, 张雅, 吴波, 李婉婷. 基于多源信息融合的电动汽车自适应能量回收控制研究. 汽车文摘, 2026 , (10) : 23 -30 . DOI: 10.19822/j.cnki.1671-6329.20260160
Ke Zeng, Xu Cai, Zhirong Zhou, Hongzhang Fang, Ming Zhang, Ya Zhang, Bo Wu, Wanting Li. Research on Adaptive Energy Recovery Control for Electric Vehicles Based on Multi-Source Information Fusion[J]. Automotive Digest, 2026 , (10) : 23 -30 . DOI: 10.19822/j.cnki.1671-6329.20260160
Year 2026 volume Issue 10
146
25
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doi: 10.19822/j.cnki.1671-6329.20260160
  • Online Date:2026-10-15
  • Published:2026-10-05
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    Voyah Automobile Technology Co., Ltd., Wuhan 430056
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表12种不同金属材料的力学参数
科
Family
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Number of
genus
种数
Number of
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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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