Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles

To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The numerical issues, including the discretization re...

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Vydáno v:Energies (Basel) Ročník 8; číslo 4; s. 3225 - 3244
Hlavní autoři: Wang, Ximing, He, Hongwen, Sun, Fengchun, Zhang, Jieli
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.04.2015
Témata:
Algorithms
Batteries
Boundaries
Cost control
Dynamic programming
Electric vehicles
Energy consumption
Energy efficiency
Energy management
energy management strategy
global optimization
Hybrid vehicles
Mathematical models
modeling
Optimization
plug-in hybrid electric vehicles
Powertrain
Strategy
Beijing China
China
ISSN:1996-1073, 1996-1073
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Abstract To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The numerical issues, including the discretization resolution of the relevant variables and the boundary issue of their feasible regions, were considered when implementing DP to solve the optimal control problem of PHEVs. The tradeoff between the optimization accuracy when using the DP algorithm and the computational burden was systematically investigated. As a result of overcoming the numerical issues, the DP-based approach has the potential to improve the fuel-savings potential of PHEVs. The results from comparing the DP-based strategy and the traditional control strategy indicate that there is an approximately 20% improvement in fuel economy.
AbstractList To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The numerical issues, including the discretization resolution of the relevant variables and the boundary issue of their feasible regions, were considered when implementing DP to solve the optimal control problem of PHEVs. The tradeoff between the optimization accuracy when using the DP algorithm and the computational burden was systematically investigated. As a result of overcoming the numerical issues, the DP-based approach has the potential to improve the fuel-savings potential of PHEVs. The results from comparing the DP-based strategy and the traditional control strategy indicate that there is an approximately 20% improvement in fuel economy.
Author Zhang, Jieli
He, Hongwen
Sun, Fengchun
Wang, Ximing
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  fullname: Zhang, Jieli
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SubjectTerms Algorithms
Batteries
Boundaries
Cost control
Dynamic programming
Electric vehicles
Energy consumption
Energy efficiency
Energy management
energy management strategy
global optimization
Hybrid vehicles
Mathematical models
modeling
Optimization
plug-in hybrid electric vehicles
Powertrain
Strategy
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Title Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles
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Volume 8
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