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汽车安全与节能学报 ›› 2023, Vol. 14 ›› Issue (1): 106-117.DOI: 10.3969/j.issn.1674-8484.2023.01.013

• 汽车节能与环保 • 上一篇    下一篇

基于路况和驾驶习惯的自适应能量回收控制策略

吴浩(), 丁文敏, 魏广杰, 胡均, 游道亮   

  1. 江铃汽车股份有限公司,南昌 330052,中国
  • 收稿日期:2022-04-17 修回日期:2022-11-10 出版日期:2023-02-28 发布日期:2023-03-07
  • 作者简介:吴浩(1986—),男(汉),湖北,工程师。E-mail:hao_6891@163.com

Adaptive energy recovery control strategy based on road conditions and driving habits

WU Hao(), DING Wenmin, WEI Gaungjie, HU Jun, YOU Daoliang   

  1. Jiangling Motors Co, Ltd., Nan Chang 330052, China
  • Received:2022-04-17 Revised:2022-11-10 Online:2023-02-28 Published:2023-03-07

摘要:

为提升电动汽车节能水平,运用理论分析和实际道路测试标定相结合的方法,设计了能够根据外部环境工况和驾驶习惯调整的自适应能量回收控制策略,并通过实车在3种典型道路工况下进行能耗对比测试。结果表明:相比于固定强度的能量回收策略,自适应滑行能量回收系统能够有效识别当前行驶路况和驾驶习惯并自适应调整车辆滑行能量回收强度,在山区、市郊和高速工况下可分别降低能耗4.35%、3.55%和0.86%,证明该文提出的自适应能量回收控制策略可以显著提升电动汽车节能水平。

关键词: 能量回收控制策略, 自适应控制, 驾驶习惯, 路况, 坡度

Abstract:

In order to improve the energy-saving level of electric vehicles, an adaptive energy recovery control strategy that can be adjusted according to external environmental conditions and driving habits was designed by using the method of combining theoretical analysis and actual road test calibration. The energy consumption comparison test was carried out by real vehicles under 3 typical road conditions. The results shows that compared with the fixed-intensity energy recovery strategy, the adaptive sliding energy recovery system can effectively identify the current driving conditions and driving habits and adaptively adjust the vehicle’s sliding energy recovery intensity, which can reduce energy consumption by 4.35%, 3.55% and 0.86% in mountainous, suburban and high-speed road conditions, respectively, which proves that the adaptive energy recovery control strategy proposed can significantly improve the energy saving level of electric vehicles.

Key words: energy recovery control strategy, adaptive control, driving habit, road condition, gradient

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