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Influence of Energy Management System Control Strategies on the Battery State of Health in Hybrid Electric Vehicles

Author

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  • Umberto Previti

    (Engineering Department, University of Messina, C. da Di Dio, 98166 Mesina, Italy)

  • Sebastian Brusca

    (Engineering Department, University of Messina, C. da Di Dio, 98166 Mesina, Italy)

  • Antonio Galvagno

    (Engineering Department, University of Messina, C. da Di Dio, 98166 Mesina, Italy)

  • Fabio Famoso

    (Engineering Department, University of Messina, C. da Di Dio, 98166 Mesina, Italy)

Abstract

Nowadays, the automotive market has showed great interest in the diffusion of Hybrid Electric Vehicles (HEVs). Despite their low emissions and energy consumptions, if compared with traditional fossil fuel vehicles, their architecture is much more complex and presents critical issues in relation to the combined use of the internal combustion engine (ICE), the electric machine and the battery pack. The aim of this paper is to investigate lithium-ion battery usage when coupled with an optimization-based strategy in terms of the overall energy management for a specific hybrid vehicle. A mathematical model for the power train of a Peugeot 508 RXH was implemented. A rule-based energy management system (EMS) was developed and optimized using real data from the driving cycles of two different paths located in Messina. A mathematical model of the battery was implemented to evaluate the variation of its voltage and state of charge (SOC) during the execution of driving cycles. Similarly, a mathematical model was implemented to analyze the state of health (SOH) of the battery after the application of electrical loads. It was thus possible to consider the impact of the energy management system not only on fuel consumption but also on the battery pack aging. Three different scenarios, in terms of battery usage at the starting SOC values (low, medium, and maximum level) were simulated. The results of these simulations highlight the degradation and aging of the studied battery in terms of the chosen parameters of the rule-based optimized EMS.

Suggested Citation

  • Umberto Previti & Sebastian Brusca & Antonio Galvagno & Fabio Famoso, 2022. "Influence of Energy Management System Control Strategies on the Battery State of Health in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12411-:d:929263
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    References listed on IDEAS

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    Cited by:

    1. Yong Liu & Jimin Ni & Rong Huang & Xiuyong Shi & Zheng Xu & Yanjun Wang & Yuan Lu, 2024. "Optimization of Energy Management Strategy of a PHEV Based on Improved PSO Algorithm and Energy Flow Analysis," Sustainability, MDPI, vol. 16(20), pages 1-27, October.
    2. Qi Wu & Shouheng Sun, 2022. "Energy and Environmental Impact of the Promotion of Battery Electric Vehicles in the Context of Banning Gasoline Vehicle Sales," Energies, MDPI, vol. 15(22), pages 1-18, November.
    3. Stefan Tabacu & Dragos Popa, 2023. "Backward-Facing Analysis for the Preliminary Estimation of the Vehicle Fuel Consumption," Sustainability, MDPI, vol. 15(6), pages 1-19, March.

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