This paper presents a computationally efficient Multi-Objective Dynamic Programming (MODP) algorithm. The algorithm is applied to obtain the optimal supervisory control for PHEVs to minimize two objectives — total CO2 emissions and operational dollar costs to an individual PHEV owner. The algorithm integrates the concept of crowding distance from the Multi-Objective Evolutionary Algorithms (MOEA) literature. This distance metric is used to refine the optimal Pareto front at every time step for each state discretization. The refinement of the Pareto front significantly reduces the computational time and memory required for MODP, making it feasible. At the same time, the results show that the refinement retains optimality and produces a Pareto front with a good spread ranging from one extremal point to the other. The results also reveal interesting insights for the tradeoffs that can be achieved in minimizing the CO2 emissions and cost objectives for the underlying grid mix and driving conditions assumed.
- Dynamic Systems and Control Division
Minimizing CO2 Emissions and Dollar Costs for Plug-In Hybrid Electric Vehicles Using Multi Objective Dynamic Programming
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Patil, R, Filipi, Z, & Fathy, H. "Minimizing CO2 Emissions and Dollar Costs for Plug-In Hybrid Electric Vehicles Using Multi Objective Dynamic Programming." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 839-845. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8652
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