My Contribution
1.
Developed dynamical system of a battery SOC based on real-world high-voltage data used in a commercial PHEV.
2.
Designed a mixed-integer nonlinear OCP for optimal energy management of electrified vehicles.
3.
Built a hierarchical supervisory control architecture including NMPC-based real-time optimization.
4.
Implemented Simulink model for speed tracking of electrified vehicles.
Eco-driving Strategy for HEV
Conceptual diagram of an EMS control system for an Electrified Vehicle
In Details
Reformulation of MINOCP to NMPC
Hierarchical Supervisory Control Architecture for EMS
1.
Demand Prediction based on ARMA model
•
forcast the mechanical traction power requests of the driver and vehicle speed over a prediction horizon.
2.
ECMS-based Mode Determination
•
determine a sequence of driveline modes that are presumed to be operated over the prediction horizon.
3.
Real-time Optimization (NMPC)
•
Battery SOC change
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Emission (NOx, HC)
•
Consider engine and motor efficiency in real-time by using regression model based on efficiency map
•
Forecasted demand power and optimal engine and motor power based on supervisory control strategy
High Fidelity Simulink Model for (P)HEV Simulation
•
Speed tracking Simulink model for Electrified Vehicle
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EV mode
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ICE mode
