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电动半挂汽车列车能量回收型缓速器匹配控制
引用本文:聂孟稳,杨 坤,王 杰,马 超,肖锦钊,谭树梁.电动半挂汽车列车能量回收型缓速器匹配控制[J].河北科技大学学报,2021,42(4):334-344.
作者姓名:聂孟稳  杨 坤  王 杰  马 超  肖锦钊  谭树梁
作者单位:山东理工大学交通与车辆工程学院,山东淄博 255000;山东理工大学交通与车辆工程学院,山东淄博 255000;山东意威汽车科技有限公司电控部,山东淄博 255130;一汽解放汽车有限公司商用车开发院中重型开发一部,吉林长春 130011
基金项目:国家自然科学基金(51605265); 山东省重点研发计划项目(2018GGX105010)
摘    要:为解决缓速器安装于半挂汽车列车传动系统时存在"冲撞"严重的问题,提高缓速工况时制动能量的回收率,提出了一种安装于半挂车前轴两侧轮毂内的能量回收型缓速器方案。根据GB/T 32692-2016中对缓速制动性能的规定,对缓速器参数进行了匹配,制定相应的缓速器控制策略,根据控制策略中对电动半挂汽车列车质量的需求,对质量估计算法进行研究,并基于粒子群算法对小制动强度时制动力矩分配进行探讨。通过Matlab/Simulink与TruckSim搭建了联合仿真平台,对质量估计算法、电动半挂汽车列车经济性和制动安全性进行仿真验证。仿真结果表明:质量估计算法能够准确估计电动半挂汽车列车质量;能量回收型缓速器能够满足电动半挂汽车列车缓速需求,提高制动能量回收率,且能够有效解决电动半挂汽车列车缓速制动时的"冲撞"问题。相关研究能够解决"冲撞"问题,提高制动安全性,为提高电动半挂汽车列车缓速制动时制动能量的回收率提供了新思路。

关 键 词:车辆工程  电动半挂汽车列车  能量回收型缓速器  控制策略  质量估计  粒子群算法
收稿时间:2021/3/30 0:00:00
修稿时间:2021/5/25 0:00:00

Matching control of energy recovery retarder for electric semi-trailer train[JP]
NIE Mengwen,YANG Kun,WANG Jie,MA Chao,XIAO Jinzhao,TAN Shuliang.Matching control of energy recovery retarder for electric semi-trailer train[JP][J].Journal of Hebei University of Science and Technology,2021,42(4):334-344.
Authors:NIE Mengwen  YANG Kun  WANG Jie  MA Chao  XIAO Jinzhao  TAN Shuliang
Abstract:In order to improve the serious problem of "KG-*2]collision" when the retarder is installed in the transmission system of a semi-trailer vehicle,and to improve the braking energy recovery rate during retarding conditions,a scheme of energy recovery type retarder installed in the hub on both sides of the front axle of semi-trailer was proposed.According to the regulation of retarder braking performance in GB/T 32692-2016,the retarder parameters were matched,and the corresponding retarder control strategy was proposed.According to the quality requirements of the electric semitrailer train in the control strategy,the quality estimation algorithm was studied,and based on the particle swarm algorithm,the braking torque distribution at low braking intensity was studied.A joint simulation platform was built through Matlab/Simulink and TruckSim to simulate and verify the quality estimation algorithm,the economy of electric semitrailer trains and braking safety.The simulation results show that the quality estimation algorithm can accurately estimate the quality of electric semitrailer trains; the energy recovery retarder can meet the retardation requirements of electric semi-trailer vehicles,improve the braking energy recovery rate,and can effectively improve the "KG-*2]collision" problem of the electric semi-trailer train during slow braking.Related research provides new ideas for improving the braking energy recovery rate of electric semi-trailer vehicles during slow braking,and can improve the "KG-*2]collision" problem and improve braking safety.
Keywords:vehicle engineering  electric semi-trailer train  energy recovery retarder  control strategy  quality estimation  particle swarm optimization
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