Development of smart battery energy/thermal management systems for health-conscious DC fast charging and vehicle-to-grid (V2G) power flow

Intelligent health-conscious battery management system (BMS) and advanced battery thermal management systems (BTMS) are essential to improve performance of energy utilization, safety, and cycle-life. Improvement in the energetic performance on all these levels encourages integration and development within the full thermal installation. This project will look at Artificial Intelligence (AI)/Machine Learning (ML)-based intelligent state estimators for health-conscious BMS/BTMS and also develop advanced thermal management systems. Based on prior work, advanced BMS and BTMS will be developed, so as to to deploy these strategies on a larger scale, to enhance cycle life and capacity for decentralized energy storage services in a smart grid scenario, including health-conscious vehicle-to-grid (V2G) power flow as well as health-conscious DC fast charging (DCFC). This project will develop an intelligent healthy module/battery selection and optimization algorithm to leverage V2G operation without impacting user experience and battery health.

Faculty Supervisor:

Sheldon Williamson

Student:

Partner:

Dana Laval;Dana Canada Corporation

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Ontario Institute of Technology

Program: