基于动态规划优化的电动节能赛车速度曲线分析
Analysis of Speed Curve for Electric Energy Saving Racing Based on Dynamic Programming Optimization
陈瑶军 1杨清逸 1成晨 1洪琳彬 1李永耀 1周森维1
作者信息
- 1. 广州城市理工学院 广东省广州市 510800
- 折叠
摘要
文章基于动态规划算法对电动节能车的速度曲线的优化问题展开了研究.在纯电动汽车的能耗优化问题中,动态规划可以用于求解最优的能耗分配方案,以达到最小化总能耗的目标,从而达到最优的一个速度曲线.基于动态规划的优化方法,根据能源动力系统效率模型提出了一种基于全局最优算法动态规划的优化速度曲线的目标优化的控制策略,并给出目标路段的最优车速,以达到一个最佳的行驶速度,可以提高电动节能车的行驶效率和节能效果,与传统的线性或非线性速度曲线设计相比,具有较好的性能和更高的实用性.文章的研究为电动节能车的设计提供了一种新的思路和方法,对于推动新能源汽车的发展和应用具有重要意义.
Abstract
This article investigates the optimization of the speed curve of electric energy-saving vehicles based on dynamic programming algorithms.In the energy consumption optimization problem of pure electric vehicles,dynamic programming can be used to solve the optimal energy allocation scheme to achieve the goal of minimizing total energy consumption and thus achieving the optimal speed curve.Based on the optimization method of dynamic programming,a control strategy for optimizing the speed curve based on the global optimal algorithm dynamic programming is proposed based on the energy and power system efficiency model.The optimal speed of the target road section is given to achieve an optimal driving speed,which can improve the driving efficiency and energy-saving effect of electric energy-saving vehicles.Compared with traditional linear or nonlinear speed curve design,It has good performance and higher practicality.The research in this article provides a new idea and method for the design of electric energy-saving vehicles,which is of great significance for promoting the development and application of new energy vehicles.
关键词
DP动态规划/simulink仿真/节能电动车Key words
DP dynamic planning/Simulink simulation/Energy saving electric vehicle引用本文复制引用
出版年
2024
NETL
NSTL
万方数据