Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates
Paper in proceeding, 2023

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 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 1 Wh increase in the total energy consumption.

Thermal management

Cold climate driving

Computationally efficient approach

Energy efficiency

Author

Ahad Hamednia

Volvo

Chalmers, Electrical Engineering, Systems and control

Jimmy Forsman

Student at Chalmers

Volvo

Nikolce Murgovski

Chalmers, Electrical Engineering, Systems and control

Volvo

Viktor Larsson

Student at Chalmers

Volvo

Jonas Fredriksson

Volvo

Chalmers, Electrical Engineering, Systems and control

IFAC-PapersOnLine

24058971 (ISSN) 24058963 (eISSN)

Vol. 56 2 6630-6635
9781713872344 (ISBN)

22nd IFAC World Congress
Yokohama, Japan,

Driving Forces

Sustainable development

Areas of Advance

Transport

Energy

Subject Categories

Energy Engineering

Computational Mathematics

Energy Systems

DOI

10.1016/j.ifacol.2023.10.363

More information

Latest update

2/9/2024 9