Dynamic programming-based approximate real-time control policies for plug in hybrid electric vehicles

Chekan, Jafar Abbaszadeh; Bashash, Saeid

doi:10.1109/ccta.2017.8062464

Cited by 8 publications

(7 citation statements)

References 17 publications

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“…DP is a powerful multistep optimization solving algorithm, developed based on Belman’s optimality principle to find the global optimal solution. 13,17 This is a very common algorithm to optimize the performance of HEVs. DP formulation needs two sets of variables to discretization, decision and state variables.…”

Section: Emsmentioning

confidence: 99%

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Fuel consumption reduction by introducing best-mode controller for hybrid electric vehicles

Mashadi

Nahvi

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, a power management system for hybrid electric vehicles is developed and shown to improve the vehicle fuel consumption in various working conditions. A best-mode concept is defined based on the results of the dynamic programming global optimization strategy. It is shown that the use of exclusive control relations for each working mode improves fuel saving. The working state of the engine and one electric motor is used to determine the best-mode of powertrain operation. The best-mode classification also considers the battery state of charge. This enables the controller to specify near optimal working points in a wide range of state of charge. The control rule for each different work-mode is developed based on the dynamic programming results and applying the particle swarm optimization algorithm. The results show that the best-mode controller is capable of achieving fuel consumptions around 97% of that of the offline dynamic programming.

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Section: Emsmentioning

confidence: 99%

“…But due to the non-linearity of the efficiency of MG, it is difficult to calculate other parameters by using SOC. 17 In the present work, therefore, set of ω engine and T engine is used as decision variables and the set of ω engine and SOC is selected as state variables.…”

Section: Emsmentioning

confidence: 99%

Fuel consumption reduction by introducing best-mode controller for hybrid electric vehicles

Mashadi

Nahvi

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…DP Formulation. Dynamic programming (DP) is a multistep decision process, which uses Bellman's optimal principle for making hierarchical decisions and solving optimal controls [19].…”

Section: Optimal Control Problemmentioning

confidence: 99%

“…A second class of algorithms is real-time optimal control strategy that can be used to control a vehicle. Several algorithms have been proposed, some of which are based on rulers [9,10] and Equivalent fuel Consumption Minimization Strategy (ECMS) [11][12][13][14][15][16], and others are approximate real-time control strategies based on DP [17][18][19]. ECMS has strong dynamic adaptability and can get similar results with DP in theory [20]; therefore, it has been extensively studied.…”

Section: Introductionmentioning

confidence: 99%

Design of Real-Time Control Based on DP and ECMS for PHEVs

Wang

Cai

Liu

2021

Mathematical Problems in Engineering

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A real-time control is proposed for plug-in-hybrid electric vehicles (PHEVs) based on dynamic programming (DP) and equivalent fuel consumption minimization strategy (ECMS) in this study. Firstly, the resulting controls of mode selection and series mode are stored in tables through offline simulation of DP, and the parallel HEV mode uses ECMS-based real-time algorithm to reduce the application of maps and avoid manual adjustment of parameters. Secondly, the feedback energy management system (FMES) is built based on feedback from SoC, which takes into account the charge and discharge reaction (CDR) of the battery, and in order to make full use of the energy stored in the battery, the reference SoC is introduced. Finally, a comparative simulation on the proposed real-time controller is conducted against DP, the results show that the controller has a good performance, and the fuel consumption value of the real-time controller is close to the value using DP. The engine operating conditions are concentrated in the low fuel consumption area of the engine, and when the driving distance is known, the SoC can follow the reference SoC well to make full use of the energy stored in the battery.

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“…The paper [21], describes the development of a real-time control policy using Dynamic Programming and Linear regression process to come up with optimal operating controls for the engine and two motors for a power-split PHEV like Toyota Prius. The first part of the study is to use the Dynamic Programming method to come up with optimal control trajectories so that the combined cost of electrical and fuel energy is minimized for a given drive cycle.…”

Section: If the Vehicle Have Limited Connectivity Like Gps Location mentioning

confidence: 99%

Energy Consumption and Savings Analysis of a Phev in Real World Driving Through Vehicle Connectivity Using Vehicle Platooning, Blended Mode Operation and Engine Start-Stop Optimizers

Santhosh¹

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Dynamic programming-based approximate real-time control policies for plug in hybrid electric vehicles

Cited by 8 publications

References 17 publications

Fuel consumption reduction by introducing best-mode controller for hybrid electric vehicles

Fuel consumption reduction by introducing best-mode controller for hybrid electric vehicles

Design of Real-Time Control Based on DP and ECMS for PHEVs

Energy Consumption and Savings Analysis of a Phev in Real World Driving Through Vehicle Connectivity Using Vehicle Platooning, Blended Mode Operation and Engine Start-Stop Optimizers

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