1. 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