基于DP预测控制算法的电池-超级电容器电动汽车能量管理

IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Pub Date : 2014-12-01 DOI:10.1109/CIVTS.2014.7009474

Xiaofeng Lin, M. Hu, Shaojian Song, Yimin Yang

{"title":"基于DP预测控制算法的电池-超级电容器电动汽车能量管理","authors":"Xiaofeng Lin, M. Hu, Shaojian Song, Yimin Yang","doi":"10.1109/CIVTS.2014.7009474","DOIUrl":null,"url":null,"abstract":"To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of future road information. Thirdly, a DP-based-controller is proposed to minimize the cost function which consists of power loss and constrains of output. The simulation suggests that the proposed strategy can generate reasonable power split by taking the power loss, constraints of two sources and flatness of power output of Li battery pack into account.","PeriodicalId":344412,"journal":{"name":"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Battery-supercapacitor electric vehicles energy management using DP based predictive control algorithm\",\"authors\":\"Xiaofeng Lin, M. Hu, Shaojian Song, Yimin Yang\",\"doi\":\"10.1109/CIVTS.2014.7009474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of future road information. Thirdly, a DP-based-controller is proposed to minimize the cost function which consists of power loss and constrains of output. The simulation suggests that the proposed strategy can generate reasonable power split by taking the power loss, constraints of two sources and flatness of power output of Li battery pack into account.\",\"PeriodicalId\":344412,\"journal\":{\"name\":\"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIVTS.2014.7009474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVTS.2014.7009474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

摘要

为了实现锂电池组与超级电容混合动力汽车的合理功率分配方案，提出了基于动态规划的预测控制算法(PCA)。首先，建立了车厂模型，包括超级电容器和锂电池组的数学模型。然后，为了充分利用未来道路信息，设计了基于PCA的控制系统。第三，提出了一种基于dp的控制器，以最小化由功率损失和输出约束组成的代价函数。仿真结果表明，该策略能够综合考虑锂电池组的功率损耗、双源约束和输出功率平整度，实现合理的功率分割。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Battery-supercapacitor electric vehicles energy management using DP based predictive control algorithm

To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of future road information. Thirdly, a DP-based-controller is proposed to minimize the cost function which consists of power loss and constrains of output. The simulation suggests that the proposed strategy can generate reasonable power split by taking the power loss, constraints of two sources and flatness of power output of Li battery pack into account.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems

自引率

0.00%

发文量