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Faculty of Engineering and Computing, Research Conference , Coventry University, March, 201 3

Energy Management System for Hybrid Electric Vehicle. Energy conversion for HEV propulsion. 4 . Kalman Filter approach. 3 . Battery Dynamics. 5 . Results for SOC of the system. 6 . Strategy area for Energy management. Circuit model Equation . Summary

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Faculty of Engineering and Computing, Research Conference , Coventry University, March, 201 3

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

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