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汽车安全与节能学报

汽车安全与节能学报 ›› 2020, Vol. 11 ›› Issue (3): 305-313.DOI: 10.3969/j.issn.1674-8484.2020.03.005

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基于驾驶意图云模型识别的混合动力汽车 A-ECMS 的构建 

邓涛 1,2，罗远平 1    

  1. （1. 重庆交通大学 机电与车辆工程学院，重庆 400074，中国； 2. 重庆交通大学 航空学院，重庆 400074，中国）
  • 收稿日期:2020-03-04 出版日期:2020-09-30 发布日期:2020-10-20
  • 作者简介:第一作者 / First author ： 邓涛（1982—），男（汉），江西，教授。E-mail: d82t722@cqjtu.edu.cn。
  • 基金资助:
    国家自然科学基金资助项目 (51305473) ；重庆市技术预见与制度创新项目 (cstc2019jsyj-yzysbAX0030) ； 第五批重庆市高校优秀人才支持计划项目 (2017)。

Construction of hybrid electric vehicle A-ECMS based on cloud model recognitionof driving intention

DENG Tao1,2, LUO Yuanping1   

  1. （1. School of Mechatronics & Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Aeronautic, Chongqing Jiaotong University, Chongqing 400074, China）
  • Received:2020-03-04 Online:2020-09-30 Published:2020-10-20

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摘要： 基于驾驶意图云模型识别的自适应等效燃油消耗最小策略 (A-ECMS)，构建了一种混合动力 汽车能量管理策略，并对该策略进行了仿真研究。采用云模型算法，识别驾驶意图，获取了典型行驶 工况下的意图识别结果；以加权平均的方法，求得各意图下对应的等效因子；建立了等效因子查询表。 结果表明：在新欧洲行驶循环（NEDC) 工况下，相比于基于充电状态（SOC）反馈的 A-ECMS 策略， 本策略的燃油经济性提高了1.3% ；在自定义组合工况下也能取得近似 ECMS 策略的燃油经济性控制 效果 , 且具有更好的 SOC 稳定性控制效果。因而，该 A-ECMS 策略提高了原来的等效燃油消耗最 小策略 (ECMS) 的实用性，体现驾驶意图。

关键词: 混合动力汽车(HEV), 能量管理, 等效燃油消耗最小策略(ECMS), 自适应ECMS (A-ECMS), 驾驶意图, 云模型, 仿真

Abstract: An energy management strategy for hybrid electric vehicles (HEV) was constructed and simulated according to the adaptive equivalent fuel consumption minimization strategy (A-ECMS) based on driving intention cloud model recognition. The cloud model algorithm was used to identify driving intentions to obtain the intention recognition results under some typical driving conditions. By using a weighted average method to establish the look-up table of equivalent factor to calculate the corresponding equivalent factors under each intention. The results show that the proposed A-ECMS strategy improves fuel economy by 1.3% compared with the A-ECMS based on SOC (state of charge) feedback under the New European Drive Cycle (NEDC). By using ECMS strategy obtains a similar fuel economy under combination condition with a better SOC stability. Therefore, the proposed A-ECMS strategy improves the practical application of the old ECMS strategy with a good reflecting for different driving intentions. 

Key words: hybrid electric vehicles (HEV), energy management, equivalent consumption minimization strategy (ECMS), adaptive-ECMS (A-ECMS), energy management, driving intentions, cloud model, simulation

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