再生制动器
动态制动
发动机制动
汽车工程
临界制动
动力传动系统
计算机科学
制动距离
理论(学习稳定性)
能量回收
能源消耗
电子制动力分配系统
电子稳定控制
能量(信号处理)
控制理论(社会学)
工程类
控制(管理)
扭矩
制动系统
缓速器
制动器
数学
电气工程
人工智能
热力学
机器学习
物理
统计
作者
Tung Duong Tuan,Dung Do Van,Thinh Nguyen Truong
标识
DOI:10.1109/gtsd50082.2020.9303155
摘要
This study will analyze the optimization algorithms used in the optimization control of regenerative braking force distribution in automobile. Through these analyses, the PSO algorithm has been used to control the regenerative braking force distribution and mechanical braking force with a multi-objective function that is to maximize recovered energy and ensure braking stability. The simulation calculations are performed by MathLAB based on Toyota Hiace parameters with the traditional powertrain. Research results show that the fuel consumption rate of vehicles equipped energy recovery system after optimization can be improved from 10.49% to 24.44% depending on different driving cycles.
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