JOURNAL OF RENEWABLE ENERGY SYSTEMS AND MANAGEMENT
Volume 1, Numéro 1, Pages 13-30
2025-12-21
Authors : Djermouni Kamel . Berboucha Ali . Tamalouzt Salah . Belkhier Youcef .
This paper presents an optimized energy management strategy for a plug-in hybrid vehicle equipped with rooftop photovoltaic (PV) panels. The objective is to minimize fuel consumption while maintaining the battery state of charge (SOC) within manufacturer-recommended limits. A Particle Swarm Optimization (PSO) algorithm is used to determine the optimal power split factor α(t) between the internal combustion engine (ICE) and the electric motor (EM), taking into account the PV contribution. The objective function integrates multiple criteria, including fuel consumption, SOC deviation, control smoothness, and PV energy utilization. Simulations performed over a 900-second driving profile demonstrate that the proposed PSO-based control strategy efficiently manages energy flow and adapts to varying load demands and solar irradiance conditions. Results show that the integration of PV generation can reduce fuel consumption by up to 22% under moderate load conditions, while maintaining battery health and ensuring operational stability. The proposed approach provides a flexible and computationally efficient solution for hybrid vehicles integrating renewable energy sources.
Hybrid Vehicle ; Energy Management ; Photovoltaic System ; Fuel Economy ; Renewable energy
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