主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2022, Vol. 47 ›› Issue (20): 19-22.DOI: 10.16638/j.cnki.1671-7988.2022.020.005

• 新能源汽车 • 上一篇    

基于 ECMS-MPC 混合动力汽车能量管理策略

和 琦   

  1. 长安大学 汽车学院
  • 出版日期:2022-10-30 发布日期:2022-10-30
  • 通讯作者: 和 琦
  • 作者简介:和琦（1994—），男，硕士研究生，研究方向为新能源汽车能量管理技术，E-mail:1052706650@qq.com。

Research on the Energy Management Strategy of Hybrid Electric Vehicles Based on ECMS-MPC

HE Qi   

  1. School of Automobile, Chang’an University
  • Online:2022-10-30 Published:2022-10-30
  • Contact: HE Qi

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摘要： 在节能减排的大背景下，能量管理控制策略是决定混合动力车辆动力性、经济性和排 放性的关键因素。文章基于 MATLAB 建立了单轴并联式混合动力汽车及其零部件的数学模 型，在系统建模的基础上，提出了一种基于最小等效油耗预测模型（ECMS-MPC）的能量管 理策略，并与动态规划（DP）的能量管理控制策略进行了比较。仿真结果表明，从技术结果 上，ECMS-MPC 控制策略接近 DP 能量管理控制策略；从计算效率上，ECMS-MPC 控制策略 比 DP 能量管理策略提高了 6 倍，论证了 ECMS-MPC 控制策略的优越性。

关键词: 能量管理；动态规划；模型预测控制；最小等效油耗；混合动力汽车

Abstract: Under the background of energy conservation and emission reduction, energy management and control strategy is the key factor to determine the power, economy and emission of hybrid electric vehicles. In this paper, the mathematical model of the single axle parallel hybrid electric vehicle and its components is established based on MATLAB. On the basis of system modeling, an energy management strategy based on the minimum equivalent fuel consumption prediction model control (ECMS-MPC) is proposed and compared with the energy management and control strategy of dynamic programming (DP). Simulation results show that ECMS-MPC control strategy is close to DP energy management and control strategy in technical results. In terms of computing efficiency, ECMS-MPC control strategy is 6 times higher than DP energy management and control strategy. The superiority of ECMS-MPC control strategy is demonstrated.

Key words: Energy management; Dynamic programming; Model predictive control; Minimum equicalent fuel consumption; Hybrid electric vehicle