Development of Regenerative Braking Co-operative Control System for Automatic Transmission-based Hybrid Electric Vehicle using Electronic Wedge Brake

Ko, Ji Hyun; Ko, Soo‐Byung; Bak, Yongsun; Jang, Mijeong; Yoo, Byoungsoo; Cheon, Jae-Seung; Kim, Hyunsoo

doi:10.3390/wevj6020278

Cited by 3 publications

(2 citation statements)

References 5 publications

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Section: Case Study-1 Electric Vehicle With a Regenerative Braking Smentioning

confidence: 99%

“…In the literature, such coordinated operation is called "torque blending" [15]. Elaboration of this function constitutes the most difficult part of regenerative braking system development, which makes its investigation particularly important [15][16][17][18][19]. For the study of the regenerative braking system, the following tasks were formulated: conduct tests of the studied vehicle in order to identify the main parameters for its model; conduct tests, in which the regenerative braking function engages and operates throughout its full operational range; and based on the test results, identify braking torque distribution between the electric drive and the brake mechanisms.…”

Section: Case Study-1 Electric Vehicle With a Regenerative Braking Smentioning

confidence: 99%

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Model Analysis of Electrically Driven Vehicles by Means of Unknown Input Observers

Kulikov

2019

Energies

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The article describes a method to analyze the powertrain operation of electrically driven vehicles in cases of insufficient information (i.e., unknown control algorithms, no torque measurements during vehicle tests). The method implies mathematical modeling with involvement of so-called unknown input observers. A variant of such an observer is proposed. Using that observer, studies of a hybrid vehicle and a pure electric vehicle are performed. The models with torque observers simulated tests of said vehicles conducted on a chassis dynamometer and on roads. For the hybrid vehicle, operating regimes of main powertrain components were identified. For the electric vehicle, the identification revealed a coordinated operation of regenerative braking and mechanical braking. Adequacy of the modeling, including identification of the unmeasured torques, was verified through a comparison with experimental data.

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Section: Case Study-1 Electric Vehicle With a Regenerative Braking Smentioning

confidence: 99%

Section: Case Study-1 Electric Vehicle With a Regenerative Braking Smentioning

confidence: 99%

Model Analysis of Electrically Driven Vehicles by Means of Unknown Input Observers

Kulikov

2019

Energies

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Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Saiteja

Ashok

Wagh

et al. 2022

Intl J of Energy Research

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Summary Vehicle technology advances and the world shifts towards E‐mobility, improving the performance of electric vehicles (EVs) and HEVs, which are becoming the prominent focus. One of the prime topics of EV development is increasing the driving range, which is the fundamental requirement. Apart from increasing the battery capacity, retrieving the wasted energy during conventional braking, also called as regenerative braking, is a hot topic. In this context, numerous control architectures and major braking approaches are considered to examine in this study in order to create an efficient regenerative braking system (RBS). This review article intends to provide an overview of major subsystems in the RBS such as motor control system and hydraulic braking system and how it affects the braking performance is also well discussed. Additionally, it complies with some of the recent research applications and systematically reviews the several braking control strategies implied. The prominent ones are fuzzy logic control, neural network, MPC, sliding mode, and adaptive control modelling approaches. These control strategies are used to enhance energy regeneration without affecting vehicle performance. Further, this article discusses the RBS design process and its calibration variables, such as speed of the vehicle and brake force estimation, which can be used to improve braking performance. Moreover, challenges on RBS improvements are effectively addressed, coupled with brief suggestions and discussions for the growth of future RBS development. Finally, this article will hopefully help the reader to critically analyse the working of RBS and encourage to design of an efficient RBS for electro‐mobility application. Highlights A holistic overview of the RBS control system architecture and its various control systems is reviewed. Various brake energy control strategies like Fuzzy, MPC, NN, SMC, Adaptive and learning‐based controls are critically evaluated. The discussion of necessary calibration process and its associated parameters are elucidated. Representation of real‐time design and development process of an efficient RBS in EV. Some of the prominent challenges faced during design and development of RBS and scope of future improvement is suggested.

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Influence of System Dynamics in Brake Blending Strategies for Electric Vehicles

Fernández

García

Vargas

et al. 2020

Lecture Notes in Mechanical Engineering

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Development of Regenerative Braking Co-operative Control System for Automatic Transmission-based Hybrid Electric Vehicle using Electronic Wedge Brake

Cited by 3 publications

References 5 publications

Model Analysis of Electrically Driven Vehicles by Means of Unknown Input Observers

Model Analysis of Electrically Driven Vehicles by Means of Unknown Input Observers

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Influence of System Dynamics in Brake Blending Strategies for Electric Vehicles

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