Abstract
Hybrid Energy Storage Systems (HESSs), integrating batteries and supercapacitors, enhance the efficiency and longevity of electric vehicles (EVs). This paper proposes an optimization-based control and energy management strategy for HESS in EVs, combining Model Predictive Control (MPC) with fuzzy logic power allocation. The approach optimizes power distribution to minimize energy losses, extend battery lifespan, and ensure safe operation under a multi-objective framework. Validated in the Urban Dynamometer Driving Schedule (UDDS), the strategy reduces battery degradation by 10% and improves energy efficiency by 10% compared to the equal power split methods, promoting the operation of cost-effective and sustainable electric vehicles.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331598464 |
| DOIs | |
| State | Published - 2025 |
| Event | 2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Hangzhou, China Duration: 22 Oct 2025 → 25 Oct 2025 |
Publication series
| Name | 2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Proceedings |
|---|
Conference
| Conference | 2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 22/10/25 → 25/10/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- Electric Vehicles
- Energy Management
- Fuzzy Logic
- Hybrid Energy Storage Systems
- Model Predictive Control
ASJC Scopus subject areas
- Fluid Flow and Transfer Processes
- Energy (miscellaneous)
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Automotive Engineering
- Electrical and Electronic Engineering
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