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 ›› 2024, Vol. 49 ›› Issue (21): 39-44.DOI: 10.16638/j.cnki.1671-7988.2024.021.008

• 新能源汽车 • 上一篇    下一篇

一种新能源汽车智能扭矩动态调节方法

张伟平,游道亮,胡松华,范子豪   

  1. 江铃汽车股份有限公司
  • 发布日期:2024-11-05
  • 通讯作者: 张伟平
  • 作者简介:张伟平(1989-),男,工程师,研究方向为整车控制及软件开发,E-mail:wzhang37@jmc.com.cn

An Intelligent Torque Dynamic Regulation Method for New Energy Vehicles

ZHANG Weiping, YOU Daoliang, HU Songhua, FAN Zihao   

  1. Jiangling Motor Corporation Limited
  • Published:2024-11-05
  • Contact: ZHANG Weiping

摘要: 随着新能源汽车的普及,其应用场景越来越广泛。传统的根据驾驶模式调整车辆扭矩 动态响应特性的方法,在面对复杂多变的驾驶场景时,不能为车辆提供良好的驾驶性能和保 证行驶安全。为了解决这个问题,提出了一种新能源汽车智能扭矩动态调节方法。该方法首 先识别驾驶模式,再结合车辆实时状态智能识别出驾驶场景。基于识别结果,文章采用了一 个多维度扭矩动态调节模块,对扭矩响应性能进行实时优化调整。通过 Matlab/Simulink 构建 了软件模型,并进行了仿真分析和实车验证。结果表明,该方法能够适应多变的驾驶需求, 提升车辆安全性、动态性能和驾驶体验。为新能源汽车智能化扭矩管理提供了一种高效、可 靠的解决方案。

关键词: 新能源汽车;驾驶模式;驾驶场景;智能扭矩动态调节;Matlab/Simulink

Abstract: With the popularization of new energy vehicles, their application scenarios are becoming increasingly widespread. The traditional method of adjusting the vehicle's torque dynamic response characteristics according to the driving mode cannot provide good driving performance and ensure driving safety for the vehicle when facing complex and changeable driving scenarios. To solve this problem, an intelligent torque dynamic regulation method for new energy vehicles is proposed.This method first identifies the driving mode, and then intelligently recognizes the driving scenario by combining the real-time status of the vehicle. Based on the recognition results, this method adopts a multi-dimensional torque dynamic regulation module to optimize and adjust the torque response performance in real time. A software model is constructed through Matlab/Simulink, and simulation analysis and real vehicle verification are carried out. The results show that this method can adapt to the changeable driving demands, improve vehicle safety, dynamic performance and driving experience. It provides an efficient and reliable solution for the intelligent torque management of new energy vehicles.

Key words: new energy vehicles; driving modes; driving scenarios; intelligent torque dynamic regulation; Matlab/Simulink