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A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
This paper presents a new control strategy for the energy management of HEV called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). Expand
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A Comparative Study Of Supervisory Control Strategies for Hybrid Electric Vehicles
  • P. Pisu, G. Rizzoni
  • Engineering, Computer Science
  • IEEE Transactions on Control Systems Technology
  • 30 April 2007
Hybrid electric vehicles (HEVs) improvements in fuel economy and emissions strongly depend on the energy management strategy. Expand
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ECMS as a realization of Pontryagin's minimum principle for HEV control
An analytical derivation of the Equivalent Consumption Minimization Strategy (ECMS) for energy management of hybrid electric vehicles (HEVs) is presented, based on Pontryagin's minimum principle. Expand
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A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles
This paper presents a formalization of the energy management problem in hybrid electric vehicles and a comparison of three known methods for solving the resulting optimization problem. DynamicExpand
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General supervisory control policy for the energy optimization of charge-sustaining hybrid electric vehicles
Abstract A general formulation of the instantaneous power split strategy between an IC engine and an electric machine in a charge-sustaining hybrid-electric vehicle is given. It is based on theExpand
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Optimal energy management in series hybrid electric vehicles
This paper deals with the optimization of the instantaneous electrical generation/electrical storage power split in series hybrid electric vehicles (SHEV). Expand
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Unified modeling of hybrid electric vehicle drivetrains
Hybridizing automotive drivetrains, or using more than one type of energy converter, is considered an important step toward very low pollutant emission and high fuel economy. The automotive industryExpand
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Optimal energy management of hybrid electric vehicles including battery aging
The paper presents a methodology to account for battery aging in the energy management strategy for a hybrid electric vehicle, using recently developed methods for battery lifetime modeling. Expand
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On battery State of Charge estimation: A new mixed algorithm
A new SoC estimation algorithm is presented. The estimation is performed mixing the Coulomb-Counting and the Model-Based estimation approaches. The algorithm was tested on a brand new lithium-ionExpand
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Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution
Driving style, road geometry, and traffic conditions have a significant impact on vehicles' fuel economy. Expand
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