Energy Management System for Hybrid Electric Vehicle A.D.El-ladan*,Dr. Oliver Hass*, Prof. K. J. Burnham*. *Control Theory and Applications Centre Coventry University, Priory Street, Coventry, CV1 5FB Aim : The proposed topic is aimed at optimizing the electric energy flow in HEV. Objective: Optimally to Minimize battery degradation Reduce gas emission Improve battery longevity Maintain the battery power flow and optimize vehicle range 1. Concept of Hybrid Electric Vehicle (HEV) 3. Battery Dynamics Equivalent circuit Circuit model Equation Energy conversion for HEV propulsion Battery management system ( BEMS) 2. Major challenge in HEV 5. Results for SOC of the system Sustainable Electric Energy Flow Battery Power pack degradation Voltage Cell balancing Temperature Current effect Resistance Measurement State of charge (SOC ) State of Health SOH HEV Battery pack Schematic diagram of HEV Battery pack 4. Kalman Filter approach 6. Strategy area for Energy management State space representation model The discrete second order battery transformed is the six parameters for the second order battery model Is the vector signals and constants. Summary Battery pack temperature Modelling Voltage cell balancing (Modelling cells damage) Life time Prediction State of Charge/State of health Chemical properties Resistance effects Faculty of Engineering and Computing, Research Conference, Coventry University, March, 2013