{"title":"基于多项式混沌展开的锂离子电池随机模型","authors":"S. Orcioni, M. Conti","doi":"10.1109/ICCEP.2019.8890170","DOIUrl":null,"url":null,"abstract":"Lithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. In this work a statistical model of Lithium-ion battery cell, based on Polynomial Chaos Expansion is developed. Performance are compare with Monte Carlo simulations.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic model of Lithium-ion Batteries based on Polynomial Chaos Expansion\",\"authors\":\"S. Orcioni, M. Conti\",\"doi\":\"10.1109/ICCEP.2019.8890170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. In this work a statistical model of Lithium-ion battery cell, based on Polynomial Chaos Expansion is developed. Performance are compare with Monte Carlo simulations.\",\"PeriodicalId\":277718,\"journal\":{\"name\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEP.2019.8890170\",\"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 Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2019.8890170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic model of Lithium-ion Batteries based on Polynomial Chaos Expansion
Lithium-ion battery pack performance and longevity can be severely affected by cell-to-cell variations. Statistical modeling is an important tool for optimization of performance and safety of battery packs. In this work a statistical model of Lithium-ion battery cell, based on Polynomial Chaos Expansion is developed. Performance are compare with Monte Carlo simulations.