Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles
By Cong Hou, Minggao Ouyang, Liangfei Xu, Hewu Wang. 2014
296 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering, Fluid Flow and Transfer Processes
View Paper: https://www.semanticscholar.org/paper/f056af8eec0e61dbe11096fa3b37b19805540597
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In Automotive Engineering
- Xiaosong Hu
- Dongpu Cao
- Shaobo Xie
- Zongke Xin
- James Brighton
- Mehrdad Ehsani
- Bo Gao
- Efstathios Velenis
In Electrical and Electronic Engineering
Citations in the corpus
- State of the Art and Trends in Electric and Hybrid Electric Vehicles (2021, background): “The PMP has the drawback of large computation time and the problem of dimensionality [62], [63].”
- A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, unknown): “In contrast to the DP method, PMP algorithm has greatly improved the computational efficiency [12].”
- 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].”
- Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective (2017, methodology): “However, many other design concerns should be considered as well, including drivability for comfort [34], [71]; battery health for cost effectiveness [49], [72], [93]; emissions for ecodriving (which can be critical when PHEVs have minimum engine use and delay optimum exhausts temperature conditions”