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To effectively predict the lifetime of lithium\u2010ion batteries, a time series classification method is proposed that classifies batteries into high\u2010lifetime and low\u2010lifetime groups using features extracted from early\u2010cycle charge\u2010discharge data. The proposed method is based on a smooth localized complex exponential model that can extract battery features from time\u2010frequency maps and self\u2010adaptively select the time\u2010frequency resolution to maximize the discrepancy of data from the two groups. A smooth localized complex exponential periodogram is then calculated to obtain the time\u2010frequency decomposition of the whole time series data for further classification. The experimental results show that, by using battery features extracted from the first 128 charge\u2010discharge processes, the proposed method can accurately classify batteries into high\u2010lifetime and low\u2010lifetime groups, with classification accuracy and specificity as high as 95.12% and 92.5%, respectively.<\/jats:p>","DOI":"10.1155\/2021\/6618708","type":"journal-article","created":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T21:05:09Z","timestamp":1611781509000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2544-2636","authenticated-orcid":false,"given":"Zhelin","family":"Huang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0643-1069","authenticated-orcid":false,"given":"Fangfang","family":"Yang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,1,27]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcc.2004.843228"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcc.2007.900648"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcc.2009.2014642"},{"key":"e_1_2_8_4_2","doi-asserted-by":"crossref","unstructured":"PengF. 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