Study on braking force distribution based on fuzzy control algorithm

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI:10.1109/IAEAC.2015.7428732

Hu Jianyao, Xu Huawei, H. Zhiyuan, Huang Linyi, Liu Qunxing

{"title":"Study on braking force distribution based on fuzzy control algorithm","authors":"Hu Jianyao, Xu Huawei, H. Zhiyuan, Huang Linyi, Liu Qunxing","doi":"10.1109/IAEAC.2015.7428732","DOIUrl":null,"url":null,"abstract":"One of the advantages of electric vehicle is its ability to regenerate braking energy compared with conventional motor vehicles. This is able to save the electric energy and extend the drive range of electric vehicle. However, on one hand, regeneration and usage of braking energy with a higher efficiency is still a topic to be studied. On the other hand, allocation of the general braking force between the normal mechanical and electric braking systems in EV seriously affects its safety. In this paper, the braking force distribution during regenerative braking processes of a battery electric bus is studied. Controlled by a fuzzy logic strategy, the regenerative braking energy model is developed, which is embedded in the entire vehicle model. With the theoretical model, the braking force distribution function has been calculated with two factors, vehicle velocity and battery state of charge (SoC). The strategy also takes the comfort requirements of the driver during braking into account. The simulation results in this paper show that in addition to properly distributing the braking force, the regenerative braking energy control strategy can save the energy consumption of the electric bus by 5.5%, 3.9% and 6.4% during China city bus driving cycle, New York bus driving cycle and JapeneselO-15 mode driving cycle, respectively.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2015.7428732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

One of the advantages of electric vehicle is its ability to regenerate braking energy compared with conventional motor vehicles. This is able to save the electric energy and extend the drive range of electric vehicle. However, on one hand, regeneration and usage of braking energy with a higher efficiency is still a topic to be studied. On the other hand, allocation of the general braking force between the normal mechanical and electric braking systems in EV seriously affects its safety. In this paper, the braking force distribution during regenerative braking processes of a battery electric bus is studied. Controlled by a fuzzy logic strategy, the regenerative braking energy model is developed, which is embedded in the entire vehicle model. With the theoretical model, the braking force distribution function has been calculated with two factors, vehicle velocity and battery state of charge (SoC). The strategy also takes the comfort requirements of the driver during braking into account. The simulation results in this paper show that in addition to properly distributing the braking force, the regenerative braking energy control strategy can save the energy consumption of the electric bus by 5.5%, 3.9% and 6.4% during China city bus driving cycle, New York bus driving cycle and JapeneselO-15 mode driving cycle, respectively.

查看原文本刊更多论文

基于模糊控制算法的制动力分配研究

与传统机动车辆相比，电动汽车的优点之一是它具有再生制动能量的能力。这样可以节省电能，延长电动汽车的行驶里程。然而，一方面，如何以更高的效率再生和利用制动能量仍然是一个有待研究的课题。另一方面，电动汽车普通机械制动系统和电动制动系统之间的制动力分配严重影响其安全性。对纯电动客车再生制动过程中的制动力分布进行了研究。采用模糊逻辑控制策略，建立了制动能量再生模型，并将其嵌入到整车模型中。利用理论模型，计算了考虑车速和电池荷电状态的制动力分布函数。该策略还考虑了驾驶员在制动时的舒适性要求。仿真结果表明，除了合理分配制动力外，该再生制动能量控制策略在中国城市客车行驶工况、纽约客车行驶工况和日本elo -15模式行驶工况下，可分别使电动客车能耗节约5.5%、3.9%和6.4%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

自引率

0.00%

发文量