Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles

Abstract Regenerative braking system can recovery energy in various electric vehicles. Considering large computation load of global optimization methods, most researches adopt instantaneous or local algorithms to optimize the recuperation energy, and incline to study straight deceleration processes....

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Main Authors: Liang Li, Xianyao Ping, Jialei Shi, Xiangyu Wang, Xiuheng Wu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12009
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author Liang Li
Xianyao Ping
Jialei Shi
Xiangyu Wang
Xiuheng Wu
author_facet Liang Li
Xianyao Ping
Jialei Shi
Xiangyu Wang
Xiuheng Wu
author_sort Liang Li
collection DOAJ
description Abstract Regenerative braking system can recovery energy in various electric vehicles. Considering large computation load of global optimization methods, most researches adopt instantaneous or local algorithms to optimize the recuperation energy, and incline to study straight deceleration processes. However, uncertain drivers' intentions limit the potential exploration of economy improvement, and simple test conditions do not reflect the complexity of actual driving cycles. Herein, an innovative control architecture is designed for intelligent vehicles to overcome these challenges to some extent. Compared with traditional vehicles, driverless ones would eliminate drivers' interferences, and have more freedoms to optimize energy recovery, route tracking and dynamics stability. Specifically, a series regenerative braking system is designed, and then a three‐level control architecture is first proposed to coordinate three performances. In the top layer, some rules with maximum recuperation energy is exploited off‐line for optimising the velocity and control commands on‐line. In the middle layer, local algorithm is used to track the commands and complex routes for optimal energy from a global perspective. In the bottom layer, hydraulic and regenerative toques are allocated. Tests are conducted to demonstrate the effectiveness of the design and control schemes.
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spelling doaj.art-74cad7fae11a420a980684c8b758ad692022-12-22T04:03:32ZengWileyIET Intelligent Transport Systems1751-956X1751-95782021-01-0115111913110.1049/itr2.12009Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehiclesLiang Li0Xianyao Ping1Jialei Shi2Xiangyu Wang3Xiuheng Wu4State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing ChinaState Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing ChinaDepartment of Mechanical Engineering University College London London UKState Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing ChinaState Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing ChinaAbstract Regenerative braking system can recovery energy in various electric vehicles. Considering large computation load of global optimization methods, most researches adopt instantaneous or local algorithms to optimize the recuperation energy, and incline to study straight deceleration processes. However, uncertain drivers' intentions limit the potential exploration of economy improvement, and simple test conditions do not reflect the complexity of actual driving cycles. Herein, an innovative control architecture is designed for intelligent vehicles to overcome these challenges to some extent. Compared with traditional vehicles, driverless ones would eliminate drivers' interferences, and have more freedoms to optimize energy recovery, route tracking and dynamics stability. Specifically, a series regenerative braking system is designed, and then a three‐level control architecture is first proposed to coordinate three performances. In the top layer, some rules with maximum recuperation energy is exploited off‐line for optimising the velocity and control commands on‐line. In the middle layer, local algorithm is used to track the commands and complex routes for optimal energy from a global perspective. In the bottom layer, hydraulic and regenerative toques are allocated. Tests are conducted to demonstrate the effectiveness of the design and control schemes.https://doi.org/10.1049/itr2.12009Optimisation techniquesRoad‐traffic system controlOptimisationMechanical componentsVehicle mechanicsOptimisation techniques
spellingShingle Liang Li
Xianyao Ping
Jialei Shi
Xiangyu Wang
Xiuheng Wu
Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
IET Intelligent Transport Systems
Optimisation techniques
Road‐traffic system control
Optimisation
Mechanical components
Vehicle mechanics
Optimisation techniques
title Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
title_full Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
title_fullStr Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
title_full_unstemmed Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
title_short Energy recovery strategy for regenerative braking system of intelligent four‐wheel independent drive electric vehicles
title_sort energy recovery strategy for regenerative braking system of intelligent four wheel independent drive electric vehicles
topic Optimisation techniques
Road‐traffic system control
Optimisation
Mechanical components
Vehicle mechanics
Optimisation techniques
url https://doi.org/10.1049/itr2.12009
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AT xianyaoping energyrecoverystrategyforregenerativebrakingsystemofintelligentfourwheelindependentdriveelectricvehicles
AT jialeishi energyrecoverystrategyforregenerativebrakingsystemofintelligentfourwheelindependentdriveelectricvehicles
AT xiangyuwang energyrecoverystrategyforregenerativebrakingsystemofintelligentfourwheelindependentdriveelectricvehicles
AT xiuhengwu energyrecoverystrategyforregenerativebrakingsystemofintelligentfourwheelindependentdriveelectricvehicles