| 引用本文: | 徐薇,陈虹,赵海艳.考虑电池寿命的四轮轮毂电动汽车制动能量优化控制[J].控制理论与应用,2019,36(11):1942~1951.[点击复制] |
| XU Wei,CHEN Hong,ZHAO Hai-yan.Braking energy optimization control for four in-wheel motors electric vehicles considering battery life[J].Control Theory and Technology,2019,36(11):1942~1951.[点击复制] |
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| 考虑电池寿命的四轮轮毂电动汽车制动能量优化控制 |
| Braking energy optimization control for four in-wheel motors electric vehicles considering battery life |
| 摘要点击 1990 全文点击 781 投稿时间：2019-07-06 修订日期：2019-10-14 |
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| DOI编号 10.7641/CTA.2019.90532 |
| 2019,36(11):1942-1951 |
| 中文关键词 电动汽车 制动能量优化 电池寿命 力矩分配 |
| 英文关键词 electric vehicles braking energy optimization battery life torque distribution |
| 基金项目 国家自然科学基金 |
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| 中文摘要 |
| 制动能量回收系统能够将动能转化为电能存储到电池中，从而有效提高电动汽车的续驶里程，然而频繁
的制动会引起电池的频繁充电。电池寿命与其工作的外部环境有直接关系，如充放电倍率，电池剩余电量及工作
温度。单纯的制动能量回收并没有考虑回馈制动的时间点，时间长度和制动强度给电池寿命带来的影响，而这些
都是影响电池老化的不可忽略的因素。电动汽车制动过程具有电机制动和液压制动两种制动模式，本文针对制动
工况，对四轮轮毂电动汽车建立了制动模式下的能耗模型和电池寿命模型，设计了电机/液压制动模式协调优化
控制器，旨在同时兼顾电动汽车的能量回收与电池寿命的损耗。基于AMESim/Simulink 联合仿真平台对制动能
量回收给电池寿命带来的影响进行了仿真分析，并对所提出的控制策略进行了仿真验证，与未考虑电池寿命的策
略进行了对比，最后对不同的初始电池荷电状态和不同的制动强度对优化的影响进行了分析。 |
| 英文摘要 |
| The braking energy recovery system can convert kinetic energy into electrical energy and store it in the
battery, which effectively improves the driving range of the electric vehicle. However, the frequent braking will cause the
frequent charging of the battery. The external work environment of the battery, such as the charge and discharge rates, the
battery State of Charge (SOC), and the work temperature are directly related to the battery life. The simple braking energy
recovery system does not consider the impact of the regenerative braking time point and length and the braking strength
on the battery aging, which shouldn’t be ignored. There are two braking modes in electric vehicle braking process: motor
braking mode and hydraulic braking mode. In this paper, the energy consumption and recovery model and battery life
depletion model of the braking process are established for the four in-wheel motors electric vehicle, a coordination and
optimization controller of the two braking modes is designed to take into account both the energy recovery and the battery
life. Based on AMESim/Simulink co-simulation platform, the simulations are carried out to analyse the impact of braking
energy recovery on battery life first, then the proposed control method is verified compared with the strategy without
considering battery life, finally the effects of the initial battery SOC and different braking strengths for the optimization are
simulated and analyzed. |
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