{"title":"智能电池模拟前端架构比较集成电压-频率与模数转换器","authors":"M. Hamlett, W.B. Bonnett","doi":"10.1109/BCAA.2001.905142","DOIUrl":null,"url":null,"abstract":"The majority of state-of-charge based battery \"fuel gauging\" analog front end solutions are performed by either an analog-to-digital converter or a continuously integrated voltage-to-frequency converter. Comparable cost solutions are compared from the point of view of performance and difficulty of implementation. Laboratory results from both architectures are shown for common battery charge/discharge profiles.","PeriodicalId":360008,"journal":{"name":"Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Smart battery analog front end architecture comparison-integrated voltage-to-frequency vs. analog-to-digital converters\",\"authors\":\"M. Hamlett, W.B. Bonnett\",\"doi\":\"10.1109/BCAA.2001.905142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The majority of state-of-charge based battery \\\"fuel gauging\\\" analog front end solutions are performed by either an analog-to-digital converter or a continuously integrated voltage-to-frequency converter. Comparable cost solutions are compared from the point of view of performance and difficulty of implementation. Laboratory results from both architectures are shown for common battery charge/discharge profiles.\",\"PeriodicalId\":360008,\"journal\":{\"name\":\"Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BCAA.2001.905142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BCAA.2001.905142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart battery analog front end architecture comparison-integrated voltage-to-frequency vs. analog-to-digital converters
The majority of state-of-charge based battery "fuel gauging" analog front end solutions are performed by either an analog-to-digital converter or a continuously integrated voltage-to-frequency converter. Comparable cost solutions are compared from the point of view of performance and difficulty of implementation. Laboratory results from both architectures are shown for common battery charge/discharge profiles.