Title: Multiple trip information based spatial domain optimisation for power management of plug-in hybrid electric vehicles
Author: Yang Bin, Yaoyu Li, Zhong-Ren Peng
College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Department of Mechanical Engineering, University of Wisconsin–Milwaukee, 3200 N. Cramer St., Milwaukee, WI 53211, USA.
Department of Urban and Regional Planning, College of Design, Construction and Planning, University of Florida, 431 Arch Building, PO Box 115706, Gainesville, FL 32611-5706, USA; College of Transportation Engineering, Tongji University, Shanghai 200092, China
Abstract: 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.
Keywords: plug-in hybrid electric vehicles; power management; multiple trip information fusion; dynamic programming; optimisation; vehicle speed; road grade; payload profiles; power demand; state of charge; battery nonlinear dynamics; power split ratio; fuel economy; simulation; PHEV; HEV; hybrid vehicles.
Int. J. of Electric and Hybrid Vehicles, 2010 Vol.2, No.4, pp.259 - 281
Available online: 31 Aug 2010