{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T12:19:22Z","timestamp":1771935562842,"version":"3.50.1"},"reference-count":58,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2023,1,15]]},"abstract":"<jats:p> Currently, the parallel hybrid electric vehicle (PHEV) is the most common type of architecture on the hybrid vehicle market. Therefore, a PHEV can be a solution to reduce emission and fuel consumption. The main challenge in the development of HEVs is the power management between the components that ensure vehicle movement. Energy management is now highly necessary by applying a control strategy (CS) in the vehicle\u2019s traction chain, which directly affects the PHEV emission and fuel economy. The CSs have different performances, namely the control of the different power sources operation mode and the control of the battery state of charge. For this purpose, we propose a fuzzy logic CS to optimize emissions (FLCS-em) for PHEV. To assess this approach, we compare it with the most commonly used and recent EMS, in particular the strategy to optimize fuel use (FLCS-f), the efficiency optimization strategy (FLCS-eff) and the electric assist CS (EACS), in urban and highway driving cycles. The results show that the elaborate FLCS-em, characterized by a limited number of rulers, provide significant advantage than CSs mentioned in terms of the efficiency of PHEV performance and emissions and fuel consumption minimization. <\/jats:p>","DOI":"10.1142\/s021812662350007x","type":"journal-article","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T17:02:48Z","timestamp":1658422968000},"source":"Crossref","is-referenced-by-count":18,"title":["Energy Management of Parallel Hybrid Electric Vehicle Based on Fuzzy Logic Control Strategies"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4750-3794","authenticated-orcid":false,"given":"Naila Ben","family":"Halima","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, ENIS, University of Sfax, Sfax 3038, Tunisia"}]},{"given":"Naourez Ben","family":"Hadj","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, ENIS, University of Sfax, Sfax 3038, Tunisia"}]},{"given":"Mohamed","family":"Chaieb","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, ENICARTHAGE, University of Carthage, Tunis 2035, Tunisia"}]},{"given":"Rafik","family":"Neji","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, ENIS, University of Sfax, Sfax 3038, Tunisia"}]}],"member":"219","published-online":{"date-parts":[[2022,8,24]]},"reference":[{"key":"S021812662350007XBIB001","first-page":"63","volume-title":"Proc. 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