摘要
汽车电动化与智能化发展对电控系统提出了快速响应复杂路况、合理分配动力及降低能耗的要求。文章聚焦数学算法驱动的智能汽车电控系统优化,解析系统组成与功能,构建车辆动力学方程及约束量化框架,通过实时路径计算与驱动力按需分配,提升极限工况下的稳定性与安全性,为智能驾驶提供策略参考。
The development of automotive electrification and intelligence has put forward requirements for electronic control systems to respond quickly to complex road conditions,rationally allocate power and reduce energy consumption.This article focuses on the optimization of intelligent vehicle electronic control systems driven by mathematical algorithms,analyzes the system composition and functions,constructs vehicle dynamics equations and constraint quantification frameworks,and enhances stability and safety under extreme working conditions through real-time path calculation and on-demand distribution of driving forces,providing strategic references for intelligent driving.
作者
韩燕玲
郝会云
李晶晶
Han Yanling;Hao Huiyun;Li Jingjing(Department of Basic Studies,Zhengzhou University of Science and Technology,Zhengzhou 450064,China)
出处
《汽车电器》
2025年第8期83-85,共3页
Auto Electric Parts
关键词
数学算法
智能电控系统
动态路径规划
车辆动力学控制
mathematical algorithm
intelligent electronic control system
dynamic path planning
vehicle dynamics control
