Grant: Discovery Grants Program - Individual

Rechargeable batteries play an important role in renewable energy storage and the electrification of many sectors of the Canadian economy including the automotive transportation sector. The battery packs in electric vehicles (EVs) need to be constantly monitored and managed to ensure safety, performance, and reliability of the EV. The battery management system (BMS) is an integral part of a battery pack that is designed to continuously monitor and maintain it. The status of the available BMS technology to a battery pack also plays a crucial role in determining the range, remaining useful life, charging time, and size requirements of the EVs. The proposed research work is designed to achieve the following six objectives: (a) To develop models to quantify uncertainties in BMS algorithms to better inform the end uwer about the available range and remaining life of EV batteries. (b) To derive theoretical performance bounds of BMS algorithms to provides measurable performance improvement targets for battery algorithm development. (c) To develop a framework for dynamic BMS in modular battery energy storage systems so that the charging time and weight of EVs can be reduced. (d) To develop improved approaches to battery thermal management systems so that the safety and reliability of EVs can be maintained. (e) To develop the required technological framework to assess spent EV batteries for second-use applications so that they can be efficiently reused. (f) To develop rigorous approaches to evaluate the performance of all aspects of battery management systems. Collectively, these six research objectives will improve the safety, efficiency, and reliability of electrified applications, particularly of EVs. Further, the proposed research outcomes will help to reduce charging time and weight of EVs through the development of dynamic and precise BMS.