{"title":"人工神经网络","authors":"N. Kumari, V. Bhargava","doi":"10.1109/ICICT46931.2019.8977685","DOIUrl":null,"url":null,"abstract":"This is studied and implemented in MATLAB Simulink on the ability of think about problems and decisions in a reasonable way without exaggerating of electric vehicles specifically for hybrid energy storage system. It formally suggest something as a possible to plan for hybrid electric storage system consists of lithium ion battery and super capacitor to charge the electric vehicle. The control system is designed using Artificial Neural Network to improve something the results obtained using the PI controlled techniques. It reduces the calculation complexity of the system by reducing the values of Kp and Ki calculations. The neural network promotes self-learning capability of the system and also improves the system by reducing any fluctuations if any. In this paper, we study and implement techniques for design of Hybrid Energy Storage System for Electric Vehicles.","PeriodicalId":412668,"journal":{"name":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Neural Network\",\"authors\":\"N. Kumari, V. Bhargava\",\"doi\":\"10.1109/ICICT46931.2019.8977685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This is studied and implemented in MATLAB Simulink on the ability of think about problems and decisions in a reasonable way without exaggerating of electric vehicles specifically for hybrid energy storage system. It formally suggest something as a possible to plan for hybrid electric storage system consists of lithium ion battery and super capacitor to charge the electric vehicle. The control system is designed using Artificial Neural Network to improve something the results obtained using the PI controlled techniques. It reduces the calculation complexity of the system by reducing the values of Kp and Ki calculations. The neural network promotes self-learning capability of the system and also improves the system by reducing any fluctuations if any. In this paper, we study and implement techniques for design of Hybrid Energy Storage System for Electric Vehicles.\",\"PeriodicalId\":412668,\"journal\":{\"name\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT46931.2019.8977685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT46931.2019.8977685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This is studied and implemented in MATLAB Simulink on the ability of think about problems and decisions in a reasonable way without exaggerating of electric vehicles specifically for hybrid energy storage system. It formally suggest something as a possible to plan for hybrid electric storage system consists of lithium ion battery and super capacitor to charge the electric vehicle. The control system is designed using Artificial Neural Network to improve something the results obtained using the PI controlled techniques. It reduces the calculation complexity of the system by reducing the values of Kp and Ki calculations. The neural network promotes self-learning capability of the system and also improves the system by reducing any fluctuations if any. In this paper, we study and implement techniques for design of Hybrid Energy Storage System for Electric Vehicles.
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