Guo, Ningyuan and Zhang, Wencan and Chen, Weilin and Chen, Zheng and Liu, Jin and Du, Guangze and Chen, Xiutao (2025) Universal bounds estimation and efficient tuning for equivalent factor in real-time cost-optimal predictive ECMS of PHEVs. IEEE Transactions on Transportation Electrification, 11 (1). pp. 2796-2813. ISSN 2332-7782, DOI https://doi.org/10.1109/TTE.2024.3429129.
Full text not available from this repository.Abstract
Accurate and efficient estimation of the equivalent factor (EF) in equivalent consumption minimization strategy (ECMS) is pivotal for achieving desirable economy effects in plug-in hybrid electric vehicles (PHEV). To this end, a real-time predictive ECMS (PECMS) for cost optimality in series PHEVs is proposed, which aims to minimize the total cost associated with fuel consumption, battery degradation, and electricity usage. A generalized unified constraint for battery power command is developed to establish the minimum feasible control domain in powertrain, thereby reducing control complexity and deriving minimal usable EF bounds. Building upon this unified constraint, a universal approach for estimating EF bounds is introduced, independent of specific control objectives or powertrain configurations. Subsequently, a concise and efficient EF tuning approach based on the golden section method is formulated to estimate the appropriate EF for PECMS in real time. With this EF determination, optimal battery power commands are computed by solving the Hamilton function. Simulation and hardware-in-the-loop test results verify the effectiveness of the proposed strategy in reducing operational cost, accurately estimating EF bounds, and achieving efficient EF tuning in real-time applications.
| Item Type: | Article |
|---|---|
| Funders: | National Natural Science Foundation of China (NSFC) [Grant No: 52272395] |
| Uncontrolled Keywords: | Batteries; Tuning; State of charge; Mechanical power transmission; Real-time systems; Engines; Costs; Cost-optimal energy management; equivalent factor (EF) estimation; predictive equivalent consumption minimization strategy (PECMS); universal EF bounds |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 02 Oct 2025 08:24 |
| Last Modified: | 02 Oct 2025 08:24 |
| URI: | http://eprints.um.edu.my/id/eprint/47932 |
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