A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles [Proc. ASME]

CSS Publication Number: 
CSS08-19
Abstract: 

This paper examines the problem of optimally splitting driver power demand among the different actuators (i.e., the engine and electric machines) in a plug-in hybrid electric vehicle (PHEV). Existing studies focus mostly on optimizing PHEV power management for fuel economy, subject to charge sustenance constraints, over individual drive cycles. This paper adds three original contributions to this literature. First, it uses stochastic dynamic programming to optimize PHEV power management over a distribution of drive cycles, rather than a single cycle. Second, it explicitly trades off fuel and electricity usage in a PHEV, thereby systematically exploring the potential benefits of controlled charge depletion over aggressive charge depletion followed by charge sustenance. Finally, it examines the impact of variations in relative fuel-to-electricity pricing on optimal PHEV power management. The paper focuses on a single-mode powersplit PHEV configuration for mid-size sedans, but its approach is extendible to other configurations and sizes as well.

Research Areas: 
Keyword: 
propulsion
algorithms
actuators
Publication Type: 
Conference Proceeding
Proceedings of the 2008 ASME Dynamic Systems and Control Conference
Date Published: 
January 1, 2008
Persistent URL: 
doi: 10.1115/DSCC2008-2252
Full Citation: 
Moura, Scott J., Duncan S. Callaway, Hosam K. Fathy, Jeffrey L. Stein. (2008) A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles. Proceedings of the 2008 ASME Dynamic Systems and Control Conference, Ann Arbor, MI, October 20-22, 2008. 1107-1116.
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Publication Status: 
Published