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Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2022Embargo end date: 01 Jan 2022Publisher:arXiv

Authors: Hamednia, Ahad; Forsman, Jimmy; Murgovski, Nikolce; Larsson, Viktor; Fredriksson, Jonas;

doi: 10.48550/arxiv.2211.11250

arXiv: 2211.11250 , http://arxiv.org/abs/2211.11250

Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates

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Abstract

This paper investigates battery preheating before fast charging, for a battery electric vehicle (BEV) driving in a cold climate. To prevent the battery from performance degradation at low temperatures, a thermal management (TM) system has been considered, including a high-voltage coolant heater (HVCH) for the battery and cabin compartment heating. Accordingly, an optimal control problem (OCP) has been formulated in the form of a nonlinear program (NLP), aiming at minimising the total energy consumption of the battery. The main focus here is to develop a computationally efficient approach, mimicking the optimal preheating behavior without a noticeable increase in the total energy consumption. The proposed algorithm is simple enough to be implemented in a low-level electronic control unit of the vehicle, by eliminating the need for solving the full NLP in the cost of only 1Wh increase in the total energy consumption.

Related Organizations

Volvo Aero Corporation
Sweden

Keywords

FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control

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