Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing

dc.authoridpang, hui/0000-0001-7550-8376
dc.authoridLIU, KAILONG/0000-0002-3564-6966
dc.authoridCoskun, Serdar/0000-0002-7080-0340
dc.contributor.authorZhang, Fengqi
dc.contributor.authorXiao, Lehua
dc.contributor.authorCoskun, Serdar
dc.contributor.authorPang, Hui
dc.contributor.authorXie, Shaobo
dc.contributor.authorLiu, Kailong
dc.contributor.authorCui, Yahui
dc.date.accessioned2025-03-17T12:27:18Z
dc.date.available2025-03-17T12:27:18Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractThis article presents a thorough comparative study of energy management strategies (EMSs) for a par-allel hybrid electric vehicle (HEV), while the battery ageing is considered. The principle of dynamic programming (DP), Pontryagin's minimum principle (PMP), and equivalent consumption minimization strategy (ECMS) considering battery ageing is elaborated. The gearshift map is obtained from the opti-mization results in DP to prevent frequent shifts by taking into account drivability and fuel economy, which is then applied in the PMP and ECMS. Comparison of different EMSs is conducted by means of fuel economy, battery state-of-charge charge-sustainability, and computational efficiency. Moreover, battery ageing is included in the optimization solution by utilizing a control-oriented model, aiming to fulfill one of the main cost-related design concerns in the development of HEVs. Through a unified framework, the torque split and battery degradation are simultaneously optimized in this study. Simulations are carried out for DP, PMP, and ECMS to analyze their features, wherein results indicate that DP obtains the best fuel economy compared with other methods. Additionally, the difference between DP and PMP is about 2% in terms of fuel economy. The observations from analysis results provide a good insight into the merits and demerits of each approach. (c) 2022 Published by Elsevier Ltd.
dc.description.sponsorshipNational Natural Science Foundation of China [51905419, 52072047]; open fund of Key laboratory of Shanxi Province for Development and Application of New Transportation (Chang'an University) [300102229514]
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China (Grant No.51905419, Grant No.52072047) and open fund of Key laboratory of Shanxi Province for Development and Application of New Transportation (Chang'an University) (Grant No. 300102229514) .
dc.identifier.doi10.1016/j.energy.2022.123219
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.scopus2-s2.0-85148954250
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.energy.2022.123219
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2186
dc.identifier.volume264
dc.identifier.wosWOS:000926030200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectHybrid electric vehicles
dc.subjectEnergy management strategy
dc.subjectBattery ageing
dc.subjectDrivability
dc.subjectFuel economy
dc.titleComparative study of energy management in parallel hybrid electric vehicles considering battery ageing
dc.typeArticle

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