The energy management strategy in a hybrid electric vehicle is viewed as an optimal control problem and is solved using Model Predictve Control (MPC). The method is applied to a series hybrid electric vehicle, using a linearized model in state space formulation and a linear MPC algorithm, based on quadratic programming, to find a feasible suboptimal solution. The significance of the results lies in obtaining a real-time implementable control law. The MPC algorithm is applied using a quasi-static simulator developed in the MATLAB environment. The MPC solution is compared with the dynamic programming solution (offline optimization). The dynamic programming algorithm, which requires the entire driving cycle to be known a-priori, guarantees the optimality and is used here as the benchmark solution. The effect of the parameters of the MPC (length of prediction horizon, type of prediction) is also investigated.
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ASME 2009 Dynamic Systems and Control Conference
October 12–14, 2009
Hollywood, California, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4893-7
PROCEEDINGS PAPER
Model Predictive Control as an Energy Management Strategy for Hybrid Electric Vehicles Available to Purchase
Balaji Sampathnarayanan,
Balaji Sampathnarayanan
The Ohio State University, Columbus, OH
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Lorenzo Serrao,
Lorenzo Serrao
The Ohio State University, Columbus, OH
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Simona Onori,
Simona Onori
The Ohio State University, Columbus, OH
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Giorgio Rizzoni,
Giorgio Rizzoni
The Ohio State University, Columbus, OH
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Steve Yurkovich
Steve Yurkovich
The Ohio State University, Columbus, OH
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Balaji Sampathnarayanan
The Ohio State University, Columbus, OH
Lorenzo Serrao
The Ohio State University, Columbus, OH
Simona Onori
The Ohio State University, Columbus, OH
Giorgio Rizzoni
The Ohio State University, Columbus, OH
Steve Yurkovich
The Ohio State University, Columbus, OH
Paper No:
DSCC2009-2671, pp. 249-256; 8 pages
Published Online:
September 16, 2010
Citation
Sampathnarayanan, B, Serrao, L, Onori, S, Rizzoni, G, & Yurkovich, S. "Model Predictive Control as an Energy Management Strategy for Hybrid Electric Vehicles." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 2. Hollywood, California, USA. October 12–14, 2009. pp. 249-256. ASME. https://doi.org/10.1115/DSCC2009-2671
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