Modeling Control Strategies and Range Impacts for Electric Vehicle Integrated Thermal Management Systems with MATLAB/Simulink

Paper #:
  • 2017-01-0191

Published:
  • 2017-03-28
Abstract:
Passenger comfort and vehicle component thermal management systems of advanced electric vehicles (EVs) can be highly integrated designs. While capable of substantially increasing the range, these systems are complex with a large number of possible modes of operation. Effective control strategies become a key in successful application of such systems while simulations in place of extensive testing may substantially reduce the cost of their development. The National Renewable Energy Laboratory previously developed a combined thermal management system simulation model in MATLAB/Simulink that included refrigerant and coolant loops, and validated its performance against bench test data. This paper provides details of control strategies developed for NREL’s combined coolant loop system concept. Simulation results over drive cycles demonstrate dynamic mode switching within the modeling framework. Results show the potential for significant energy savings, particularly for EV heating. The range benefits of these control strategies are then simulated for a typical EV.
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