Multiple trip information based spatial domain optimisation for power management of plug-in hybrid electric vehicles

This paper presents a spatial domain Dynamic Programming (DP) optimal power management scheme for plug-in hybrid electric vehicles, which integrates multiple trip information including speed, road grade and payload profiles. The segment-wise power demand is obtained in a closed form, based on length, initial speed, acceleration, road grade, payload and wind of a road segment. The State of Charge (SOC) change is obtained with linearisation of battery non-linear dynamics for different Power Split Ratio (PSR). An adjustable segment scheme used of analytical function is developed in order to improve the computation efficiency of the optimal power management without losing much of fuel economy. Simulation study shows that incorporating additional trip information such as road grade and predictable payload change into the optimisation can significantly improve the fuel economy. The computational efficiency is also evaluated. The proposed method can greatly facilitate the development of optimal power management strategy for PHEV with multiple information inputs.