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汽车安全与节能学报 ›› 2020, Vol. 11 ›› Issue (4): 546-552.DOI: 10.3969/j.issn.1674-8484.2020.04.015

• 汽车节能与环保 • 上一篇    下一篇

基于多工况分析的插电式混合动力汽车节能控制策略

牛亚卓(), 聂国乐, 杨建军*(), 刘双喜, 白巴特尔   

  1. 中国汽车技术研究中心有限公司,天津 300300, 中国
  • 收稿日期:2020-06-17 出版日期:2020-12-30 发布日期:2021-01-04
  • 通讯作者: 杨建军
  • 作者简介:*杨建军,高级工程师。E-mail: yangjianjun@catarc.ac.cn
    牛亚卓(1989—),男(汉),河北,工程师。E-mail:niuyazhuo@catarc.ac.cn

Energy saving control strategy of PHEV based on multi-condition analysis

NIU Yazhuo(), NIE Guole, YANG Jianjun*(), LIU Shuangxi, BAI Bateer   

  1. 1. China Automotive Technology and Research Center Co. Ltd, Tianjin 300300 China
  • Received:2020-06-17 Online:2020-12-30 Published:2021-01-04
  • Contact: YANG Jianjun

摘要:

为了获得插电式混合动力汽车(PHEV)的能量管理控制策略及其节油效果,分别采用稳态工况、加速工况、制动工况以及新欧洲行驶循环(NEDC)工况,开展不同运行模式的试验分析,并搭建传统动力仿真模型进行对比。结果表明:仅低充电状态(SOC)、中低油门开度下,电机和发动机的转矩分配策略受到影响;该车辆整车需求功率在5 kW以内时采用纯电驱动,避开了发动机低效率区域;车辆进入制动能量回收模式时,电机仅提供最大50 kW的回收功率。车辆的节油率达到23.4%。因此,该PHEV车型实现了合理的运行模式管理,高效的发动机运行效率以及高效的能量利用率。

关键词: 插电式混合动力汽车(PHEV), 能量管理控制策略, 运行模式, 电池荷电状态(SOC), 制动功率, 仿真建模

Abstract:

An energy management control strategy and its fuel saving effect was obtained for plug-in hybrid electric vehicles (PHEV). Experimental analysis was made under different operating modes: Steady-state conditions, accelerated conditions, braking conditions and New European Driving Cycle (NEDC) conditions. The results were compared with a new built model of traditional dynamic simulation. The results show that the torque distribution strategy of motor and engine is affected only under low charge state (SOC) and medium and low throttle opening. When the whole vehicle demand power is within 5 kW, it adopts pure electric drive to avoid the low engine efficiency area. When the vehicle enters the braking energy recovery mode, the motor only provides the maximum recovery power of 50 kW. The vehicle fuel economy reaches 23.4%. Therefore, this PHEV vehicle realizes reasonable operation mode management with high engine operation efficiency and high energy utilization.

Key words: plug-in hybrid electric vehicle (PHEV), energy management control strategy, operation mode, state of charge (SOC), braking power, simulation modeling

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