Research on cooperative estimation methods for state-of-charge and state-of-health of lithium ion batteries driven by electric vehicle operation data

Electric vehicles have been considered as a solution to reduce greenhouse gas emissions. Lithium-ion batteries are the most commonly-used energy storage device in electric vehicles due to their advantages of high specific power and long life. However, they still have lower energy density than fuel and longer charging time than refilling time of fuel. To make full use of lithium-ion batteries in electric vehicles and mitigate the gap between the batteries and fuel, it is essential to develop battery management systems whose key function is to estimate battery states. This thesis focuses on the research of battery state-of-charge and state-of-health co-estimation using electric vehicle operation data.