Research and optimization of energy management system for photovoltaic vehicles

Bi Li, Zhinong Li and Deqiang He

Energy, 2024, vol. 289, issue C

Abstract: To address the drawbacks of low energy utilization and high cost in traditional photovoltaic (PV) vehicle energy management systems, a hybrid energy management system for PV vehicles is proposed, which can automatically manage energy under complex conditions. An improved PV model and the solar irradiation S – temperature T transfer function are used to construct Simulink simulation models. The simulation compares the charging effects of a PV cell and a charging station, as well as the performance of four energy management schemes. Finally, validation experiments are conducted for the improved PV model and the PV charging model. The simulation results show that: (1) The charging speed of the PV cell can reach 3.37 times that of the charging station, highlighting the practicality of PV power supply research. (2) In complex environments, Energy Management Scheme 2 has a more effective energy management capability compared to other schemes. The experimental results show that: (1) Compared to the original PV model, the improved PV model provides simulated data that are closer to the experimental data of the PV cell. (2) The accuracy of simulating the charging voltage and current in the PV charging model has significantly improved, reaching over 94.2% and 89.5%, respectively.

Keywords: PV vehicles; Energy management systems; Complex conditions (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:289:y:2024:i:c:s0360544223031705

DOI: 10.1016/j.energy.2023.129776

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