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基于动态规划算法和路况的增程式电动车能耗分析

Energy Consumption Analysis of a Range-extender Electric Vehicle Based on a Dynamic Programming Algorithm and Road Conditions

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【作者】 冯坚韩志玉高晓杰吴振阔孙永正

【Author】 FENG Jian;HAN Zhiyu;GAO Xiaojie;WU Zhenkuo;SUN Yongzheng;School of Automotive Studies,Tongji University;Clean Energy Automotive Engineering Center;

【通讯作者】 高晓杰;

【机构】 同济大学汽车学院同济大学新能源汽车工程中心

【摘要】 针对一种新型的车用增程式混合动力系统,研究了不同的行驶路况对基于动态规划能量管理策略电动汽车的能耗影响。根据输入的不同路况信息,以电池荷电状态、电池放电能力、车辆需求功率为状态量,以增程器发电功率为控制量,建立能量损失数学模型。以城市循环工况(UDC)、新欧洲循环工况(NEDC)、世界轻型车测试循环工况(WLTC)为路况输入,分别得出了基于传统规则能量管理策略与基于动态规划能量管理策略的油耗。仿真结果表明,不同的行驶路况对车辆的能耗影响程度不同,应用动态规划策略的车辆相比于传统方法节油10.42%~24%。

【Abstract】 The influence of different road conditions on the vehicle’s energy consumption was studied based on a dynamic programming(DP)energy management strategy for a new range-extender hybrid system. According to different road conditions,mathematical models of energy losses were established by taking the state of charge,battery discharge capacity,vehicle demand power as state variables and range-extender power as control variable.With the urban driving cycle(UDC), new European driving cycle(NEDC),worldwide light-duty test cycle(WLTC)as the experimental driving cycles,vehicles’ fuel consumptions were obtained based on the traditional Rules energy management strategy and DP energy management strategy. The simulation results show that different road conditions have different impacts on the vehicle’s energy consumption,and the vehicle using the DP strategy can improve its fuel economy by 10.42%~24%compared with the one using the traditional management strategy.

【基金】 同济大学双一流建设专项经费(1700141203);国家重点研发计划资助项目(2018YFB0106403)
  • 【文献出处】 同济大学学报(自然科学版) ,Journal of Tongji University(Natural Science) , 编辑部邮箱 ,2019年S1期
  • 【分类号】U469.7
  • 【被引频次】10
  • 【下载频次】509
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