轴
扭矩
汽车工程
直接转矩控制
控制(管理)
分布(数学)
计算机科学
电气工程
工程类
机械工程
电压
物理
感应电动机
数学
数学分析
人工智能
热力学
作者
Bin Huang,Qizheng Wang,Dengzhi Peng,Zhong Shengshi
出处
期刊:SAE technical paper series
日期:2024-04-02
摘要
<div class="section abstract"><div class="htmlview paragraph">Compared to passenger cars, commercial vehicles have relatively high fuel and energy consumption, relatively high average annual driving mileage, and a wide range of use. Therefore, energy-saving management of commercial vehicles is crucial. For multi-axle distributed pure electric drive commercial vehicles, a dynamic allocation control strategy for driving torque based on energy consumption optimization is proposed. First, the basic idea of the driving torque distribution control strategy was analyzed and a relevant mathematical model was established. Then, the offline optimization of the distribution coefficients of the driving torque for each axle was carried out through a genetic algorithm, and the entire vehicle driving force distribution strategy using the distribution coefficients as an online lookup table was determined. Finally, through the joint simulation platform of TruckSim and MATLAB/Simulink, simulation analysis was conducted for different driving conditions, and the results showed that the designed driving torque distribution control strategy can achieve the expected effect.</div></div>
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