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基于制动意图模糊识别的电动汽车再生制动研究 被引量:5

Research on Regenerative Braking System for Electric Vehicle Based on Braking Intention Fuzzy Identification Method
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摘要 为能够最大限度地回收制动能量,增加汽车的续驶里程,达到节能减排的目的,应用模糊逻辑方法对双能量源纯电动汽车制动意图进行识别。应用Matlab/simulink建立制动意图模糊辨识器,对双能量源纯电动汽车再生制动能量回收进行初步建模,将所建模型嵌入仿真软件ADVISOR中进行仿真。仿真结果表明,通过制动意图识别,在一定程度上提高了双能量源纯电动汽车制动能量的回收,证明制动意图识别对双能量源电动汽车的制动能量回收起到积极的作用。 In order to maximize the recovery of braking energy, increase the vehicle mileage, and achieve the purpose of energy saving, the fuzzy logic method was used in braking intention recognition of pure electric vehicle with dual-source energy storage sys- tem. Matlab/simulink was used to establish the model of fuzzy identifier about the braking intention. A preliminary simulation model was established for recovery of regenerative braking energy then the model was input into the simulation software ADVISOR. The simu- lation results showed that the recycling efficiency of regenerative braking energy was improved through the use of braking intention iden- tification, which indicates that the recognition of braking intention can play a positive role in recovery of regenerative braking energy for electric vehicles with dual-source energy.
出处 《森林工程》 2014年第6期71-74,共4页 Forest Engineering
基金 中央高校基本科研项目(2572014BB08) 博士后科学基金项目(2013M541329)
关键词 模糊逻辑方法 制动意图识别 建模 制动能量回收 fuzzy logic method braking intention recognition simulation model braking energy recovery
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