Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle

By Namwook Kim, Sukwon Cha, Huei Peng. IEEE Transactions on Control Systems Technology, 2011

880 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/32d56b542dd32f36a841eee651aaabf5b28a937e

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In Automotive Engineering

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Citations in the corpus

Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “The reader is referred to [84, 85, 86, 87] for details on the model assumptions, guarantees of optimality, implementation details, and performance in case the assumptions are violated.”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “The ECMS is an instantaneous optimization for HEV energy management [4], [5].”
θ-D Approximation Technique for Nonlinear Optimal Speed Control Design of Surface-Mounted PMSM Drives (2015, methodology): “The OC has been widely utilized in numerous fields such as aircraft [21], [30], tandem hot-metal-strip rolling [23], robotics [31], induction motor [32], electricity market [33], electric vehicle [34], etc.”
Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control (2020, methodology): “To explore the possibility of online optimized energy management, causal optimization methods, e.g., equivalent consumption minimization strategy (ECMS) [23], [24], Pontryagin’s Minimum Principle (PMP) [25], [26], and model predictive control (MPC) [27], [28], were adopted.”
Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus (2019, background): “With PMP, the Hamiltonian function is instantaneously minimized while satisfying the state of charge (SOC) boundary constraints and other physical constraints [21-22].”
A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, methodology): “Accordingly, the Hamilton function can be expressed as [10]: H = c f .”