Battery state of health and state of charge estimation with related application

Power split control strategies for hybrid racing vehicle-Panda raid, the thesis is being carried out with Prof. CARABELLI STEFANO from the DAUIN department of the Politecnico di Torino，it is based on the modification of the powertrain of the first generation Fiat PANDA to create a pure electric layout, and realize real-time prediction of on-board batteries through matlab programming and simulation testing on the simulink platform, and finally tested through the battery provided by the supplier BYD. The group and the cooperative laboratory conduct a series of tests to complete the inspection and apply it to the real vehicle. The main task of my team is to complete the whole process by collecting the battery data provided by BYD. Then complete the real time prediction. Since battery power (SOC) and battery health (SOH) have always been two important parameters in the BMS system. It is also very important for the car, we adopt the adaptive extended Kalman filter (AEKF) method to achieve the battery health (SOH) and battery power (SOC) for real-time forecasting.