摘要
纯电动汽车再生能量回收存储控制是提高其续驶里程和经济性的关键技术,如何制定再生制动控制策略以回收存储尽可能多的能量是其研究难点。以某轻型前驱纯电动汽车作为研究对象,通过对制动力学和相关法规分析,获得制动力分配可行域,采用再生制动优先控制策略,在可行域内分别以前轮制动力最小和最大控制线作为依据,设计2种不同再生制动优先控制策略并嵌入ADVISOR2002中。在UDDS、1015和NEDC行驶工况下进行仿真。引入蓄电池回收能量和能量效率两个指标,研究不同控制策略再生能量回收存储能力,并与ADVISOR2002再生制动控制策略进行比较。仿真表明,所采用的再生制动优先控制策略能够有效提高再生能量回收存储效率;ADVISOR2002再生制动控制策略与前轮制动力最小再生制动优先控制策略相仿,回收能量较少,能量利用效率较低,存在一定的局限性;前轮制动力最大再生制动优先控制策略再生能量回收存储效率最高。
The control for regenerative energy recovery storage of the pure electric vehicle is a key technology to improve its endurance mileage and economy.How to formulate the regenerative braking control strategy to recover and store energy as much as possible is the difficulty.Taking a light front-wheel-drive pure electric vehicle as the research object,we obtained a feasible region of braking force distribution based on the analysis of braking mechanics and related laws,and then the priority control strategy of regenerative braking was adopted.In this feasible region,we used the minimum and maximum control lines of the braking force of front wheel as the basis,and then we designed two different regenerative braking priority control strategies,which were embedded in ADVISOR2002.Based on UDDS,1015 and NEDC driving conditions,simulation was carried out.After that,we introduced two indicators such as recovered energy and energy efficiency of storage battery.Moreover,we researched the regenerative energy recovery and storage capacity of different control strategies,and compare it with ADVISOR2002 regenerative braking control strategy.Simulation results show that the proposed regenerative braking priority control strategy can effectively improve the recovery and storage efficiency of regenerative energy.ADVISOR2002 regenerative braking control strategy is more or less the same as the regenerative braking priority control strategy with minimum front wheel braking force.The energy recovery is less and the energy utilization efficiency is lower,so it has some limitations.The regenerative energy recovery and storage efficiency of the regenerative braking priority control strategy with maximum front wheel braking force is the highest.
作者
张卫
杨珏
张文明
马飞
ZHANG Wei;YANG Jue;ZHANG Wen-ming;MA Fei(School of Mechanical Engineering,Beijing University of Science and Technology,Beijing 100083,China)
出处
《计算机仿真》
北大核心
2019年第5期184-189,289,共7页
Computer Simulation
基金
高机动多功能应急救援车辆关键技术研究与应用示范项目(2016YFC0802905)
关键词
电动汽车
再生制动
控制策略
能量效率
Pure electric vehicle
Regenerative braking
Control strategy
Energy efficiency