Energy Management Optimization of Power Split Hybrid Electric Vehicle

The object of this thesis is to improve the fuel economy of a power-split hybrid driveline system with energy management. General Motors two-mode hybrid system is modeled and simulated in Matlab, and the power outputs of engine and electric motors are selected as the design targets. A rule-based controller is applied in the baseline for energy management. The optimization of fuel consumption is approached by Dynamic Programming. Then, the differences between baseline and DP are evaluated, and a modified rule-based control strategy is developed. The combined fuel economies of baseline and DP optimization are 42.06 and 55.61mpg, respectively. The potential improvement in fuel economy is 32.21%. With the modified rule-based control strategy, the fuel economy is improved 13.36%, up to 47.68mpg. The result shows that the modified control strategy improves fuel economy efficiently.