基于目标工况的新能源汽车自动优化标定系统研发*

doi:10.16731/j.cnki.1671-3133.2025.07.007

现代制造工程 ›› 2025, Vol. 538 ›› Issue (7): 57-65.doi: 10.16731/j.cnki.1671-3133.2025.07.007

基于目标工况的新能源汽车自动优化标定系统研发^*

任轲峰¹, 郗建国¹, 徐贤亚², 高建平¹

1 河南科技大学车辆与交通工程学院,洛阳 471000;
2 宇通客车股份有限公司,郑州 450000

收稿日期:2024-11-04 出版日期:2025-07-18 发布日期:2025-08-04
作者简介:任轲峰,硕士研究生,主要研究方向为混合动力汽车能量管理及标定。郗建国,高级实验师,硕士生导师,主要研究方向为混合动力汽车。徐贤亚,本科,主要研究方向为新能源汽车。高建平,教授,博士生导师,主要研究为混合动力汽车和智能网联汽车。E-mail:13839806266@163.com
基金资助:
^*河南省重大科技专项项目(241100240300)

Research and development of automatic optimal calibration system for new energy vehicles based on target working conditions

REN Kefeng¹, XI Jianguo¹, XU Xianya², GAO Jianping¹

1 School of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471000,China;
2 Yutong Bus Co.,Ltd.,Zhengzhou 450000,China

Received:2024-11-04 Online:2025-07-18 Published:2025-08-04

摘要/Abstract

摘要： 为了解决目前研究大多集中于控制器标定相关硬件、通信协议和上位机软件的开发,过于依赖利用经验进行人工手动标定参数,缺少自动优化标定的问题,首先通过正交试验设计,选取了对试验指标影响度较大的控制参数,将其作为后续自动优化标定系统的输入因子;其次构建了组合优化算法对关键参数进行优化,采用MicroAutoBox、Isight和MATLAB/Simulink等软/硬件结合的方式,设计了自动优化标定平台;最后通过台架试验验证搭建了新能源汽车自动优化标定台架,相较于人工标定,标定时间缩短了74.86 %,实现了标定过程的高效化和自动化。在目标工况下,通过优化标定后,百公里电耗相较于自动优化标定前降低了4.3 %。

关键词: 新能源汽车, 台架模型, 正交试验设计, 自动优化标定系统

Abstract: In order to solve the current problem that most studies focus on the development of related hardware,communication protocol and upper computer software,too reliance on manual calibration parameters,the lack of automatic optimization calibration of the research problems, first by using an orthogonal trial design,the control parameter with great influence on the test index is selected as the input factor for the subsequent calibration. Secondly,a combined optimization algorithm is constructed to optimize the key parameters,with the combination of hardware and software,such as MicroAutoBox,Isight and MATLAB/Simulink,the automatic optimization calibration platform is designed. Finally,through the bench test verification,the automatic optimization calibration bench of new energy vehicles is built, the calibration time is reduced by 74.86 % compared with the manual calibration,realizing the high efficiency and automation of the calibration process. Under the target working condition,the power consumption of 100 kilometers is reduced by 4.3 % compared with that before the automatic optimization calibration.

Key words: new energy vehicle, bench model, orthogonal trial design, automatic optimization calibration system

中图分类号:

U462

任轲峰, 郗建国, 徐贤亚, 高建平. 基于目标工况的新能源汽车自动优化标定系统研发^*[J]. 现代制造工程, 2025, 538(7): 57-65.

REN Kefeng, XI Jianguo, XU Xianya, GAO Jianping. Research and development of automatic optimal calibration system for new energy vehicles based on target working conditions[J]. Modern Manufacturing Engineering, 2025, 538(7): 57-65.

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基于目标工况的新能源汽车自动优化标定系统研发^*

Research and development of automatic optimal calibration system for new energy vehicles based on target working conditions

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