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Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles

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  • Anas Lahlou

    (Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS 91192 Gif-sur-Yvette, France
    Sorbonne Université, CNRS, Laboratoire de Génie Electrique et Electronique de Paris, 75252 Paris, France
    Groupe PSA Centre Technique Vélizy A, 78140 Vélizy Villacoublay, France
    College of Engineering and Architecture, LERMA Lab, Parc Technopolis, International University of Rabat, Sala Al Jadida 11100, Marocco)

  • Florence Ossart

    (Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS 91192 Gif-sur-Yvette, France)

  • Emmanuel Boudard

    (Groupe PSA Centre Technique Vélizy A, 78140 Vélizy Villacoublay, France)

  • Francis Roy

    (Groupe PSA Centre Technique Vélizy A, 78140 Vélizy Villacoublay, France)

  • Mohamed Bakhouya

    (College of Engineering and Architecture, LERMA Lab, Parc Technopolis, International University of Rabat, Sala Al Jadida 11100, Marocco)

Abstract

The HVAC system represents the main auxiliary load in battery-powered electric vehicles (BEVs) and requires efficient control approaches that balance energy saving and thermal comfort. On the one hand, passengers always demand more comfort, but on the other hand the HVAC system consumption strongly impacts the vehicle’s driving range, which constitutes a major concern in BEVs. In this paper, a thermal comfort management approach that optimizes the thermal comfort while preserving the driving range during a trip is proposed. The electric vehicle is first modeled together with the HVAC and the passengers’ thermo-physiological behavior. Then, the thermal comfort management issue is formulated as an optimization problem solved by dynamic programing. Two representative test-cases of hot climates and traffic situations are simulated. In the first one, the energetic cost and ratio of improved comfort is quantified for different meteorological and traffic conditions. The second one highlights the traffic situation in which a trade-off between the driving speed and thermal comfort is important. A large number of weather and traffic situations are simulated and results show the efficiency of the proposed approach in minimizing energy consumption while maintaining a good comfort.

Suggested Citation

  • Anas Lahlou & Florence Ossart & Emmanuel Boudard & Francis Roy & Mohamed Bakhouya, 2020. "Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles," Energies, MDPI, vol. 13(17), pages 1-31, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4471-:d:406433
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    References listed on IDEAS

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    1. Mousavi G., S.M. & Nikdel, M., 2014. "Various battery models for various simulation studies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 477-485.
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    Cited by:

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    2. Ju Yeong Kwon & Jung Kyung Kim & Hyunjin Lee & Dongchan Lee & Da Young Ju, 2023. "A Comprehensive Overview of Basic Research on Human Thermal Management in Future Mobility: Considerations, Challenges, and Methods," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    3. Simone Lombardi & Manfredi Villani & Daniele Chiappini & Laura Tribioli, 2020. "Cooling System Energy Consumption Reduction through a Novel All-Electric Powertrain Traction Module and Control Optimization," Energies, MDPI, vol. 14(1), pages 1-22, December.
    4. Gian Luca Patrone & Elena Paffumi & Marcos Otura & Mario Centurelli & Christian Ferrarese & Steffen Jahn & Andreas Brenner & Bernd Thieringer & Daniel Braun & Thomas Hoffmann, 2022. "Assessing the Energy Consumption and Driving Range of the QUIET Project Demonstrator Vehicle," Energies, MDPI, vol. 15(4), pages 1-21, February.
    5. Xiaoxiao Ding & Weirong Zhang & Zhen Yang & Jiajun Wang & Lingtao Liu & Dalong Gao & Dongdong Guo & Jianyin Xiong, 2022. "Effect of Open-Window Gaps on the Thermal Environment inside Vehicles Exposed to Solar Radiation," Energies, MDPI, vol. 15(17), pages 1-18, September.

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