Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles

Anas Lahlou, Florence Ossart, Emmanuel Boudard, Francis Roy and Mohamed Bakhouya
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Anas Lahlou: Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS 91192 Gif-sur-Yvette, France
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

Energies, 2020, vol. 13, issue 17, 1-31

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.

Keywords: dynamic programming; electric vehicle autonomy; energy management; HVAC; thermal comfort (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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