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基于AVL CRUISE的纯电动汽车仿真与优化

吴双龙 金利英 王中任 刘海生

机电工程技术2026,Vol.55Issue(3):38-44,7.
机电工程技术2026,Vol.55Issue(3):38-44,7.DOI:10.3969/j.issn.1009-9492.2025.00049

基于AVL CRUISE的纯电动汽车仿真与优化

Simulation and Optimization of Pure Electric Vehicle Based on AVL CRUISE

吴双龙 1金利英 1王中任 1刘海生1

作者信息

  • 1. 湖北文理学院机械工程学院,湖北 襄阳 441053
  • 折叠

摘要

Abstract

Aiming at the multi-objective optimization challenge in parameter matching of power systems for new energy vehicles,especially the engineering pain point that driving range,energy economy and dynamic performance are difficult to be improved synergistically,a parameter collaborative optimization method is studied based on the theory of multidisciplinary collaborative optimization,and a parameter collaborative optimization method integrating system simulation and intelligent algorithms is proposed.Meanwhile,a multi-dimensional parametric model incorporating motor external characteristics,battery discharge characteristics and transmission efficiency is established.A pure electric vehicle is taken as the research object.Based on the vehicle performance index requirements,the preliminary matching of key parameters of the power system is completed.Then,by constructing CRUISE simulation model,combined with the multi-objective genetic algorithm(NSGA-II),with the NEDC cycle driving range,100-kilometer power consumption,and 0~100 km/h acceleration time as the optimization objectives,a collaborative optimization framework including motor peak power,battery capacity and reducer speed ratio is established,and the Pareto optimal solution is obtained by iterative algorithm.The simulation results show that the driving range of NEDC is increased from 357.3 km to 375 km by 4.9%.The 0~100 km/h acceleration time is reduced from 10.93 s to 10.01 s,and the performance is improved by 8.4%.This research verifies the technical advantages of the combination of CRUISE and multi-objective optimization algorithm through quantitative analysis,and the parameter matching method formed can provide theoretical support for engineering practice.

关键词

纯电动汽车/参数匹配/CRUISE/多目标遗传算法

Key words

pure electric vehicles/parameter matching/CRUISE/multi-objective genetic algorithm

分类

交通工程

引用本文复制引用

吴双龙,金利英,王中任,刘海生..基于AVL CRUISE的纯电动汽车仿真与优化[J].机电工程技术,2026,55(3):38-44,7.

基金项目

2024年度湖北文理学院开放基金(ZDSYS202406) (ZDSYS202406)

湖北文理学院教师科研能力培育基金(2024pygpzk05) (2024pygpzk05)

机电工程技术

1009-9492

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