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Due to this, voltage and resistance parameters are not sufficient to accurately estimate SOC under various initial conditions. To solve this problem, a forgetting factor recursive least squares (FFRLS) identification technique is used, yielding four parameters which are then used to train an adaptive neuro-fuzzy inference system (ANFIS). The Sugeno-type fuzzy system features four inputs and one output (SOC), totalling 375 rules. Each of the inputs features Gaussian-type membership functions while the output is of a linear type. This network is then combined with the coulomb-counting method to obtain a hybrid estimator that can accurately estimate SOC for a Li\u2013S cell under various conditions with a maximum error of 1.64%, which outperforms the existing methods of Li\u2013S battery SOC estimation.<\/jats:p>","DOI":"10.1007\/s40815-022-01403-y","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T13:02:38Z","timestamp":1667912558000},"page":"407-422","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium\u2013Sulphur Battery"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7368-9740","authenticated-orcid":false,"given":"Nicolas","family":"Valencia","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5402-8629","authenticated-orcid":false,"given":"Abbas","family":"Fotouhi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5302-3949","authenticated-orcid":false,"given":"Neda","family":"Shateri","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6199-4251","authenticated-orcid":false,"given":"Daniel","family":"Auger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,8]]},"reference":[{"issue":"2","key":"1403_CR1","doi-asserted-by":"publisher","first-page":"5605","DOI":"10.1039\/C5CS00410A","volume":"45","author":"Z Weih Seh","year":"2016","unstructured":"Seh, Z.W., Sun, Y., Zhang, Q., Cui, Y.: Designing high-energy Lithium\u2013Sulfur batteries. 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