Electric Vehicle Battery Temperature Control Using Fuzzy Logic

Abstract

The widespread adoption of electric vehicles (EVs) has brought significant advancements in transportation technology, addressing the challenges of environmental sustainability and reducing dependence on fossil fuels. However, one of the critical aspects in the development of EVs is the efficient management of the battery system, particularly in terms of temperature control. The temperature of the battery cells plays a crucial role in determining their performance, lifespan, and overall safety. This paper presents a study on the application of fuzzy logic for electric vehicle battery temperature control. Fuzzy logic provides a flexible and robust framework for modeling and controlling complex systems with uncertain and imprecise information. By employing fuzzy logic-based algorithms, the temperature of the EV battery can be effectively regulated, ensuring optimal performance and longevity. To validate the effectiveness of the proposed approach, simulations and experiments are conducted using a representative EV battery system. The results demonstrate that the fuzzy logic-based temperature control system effectively maintains the battery temperature within the desired range, thereby improving battery performance, efficiency, longevity and reducing battery consumption by 10% compared to PID control.