A review on braking control and optimization techniques for electric vehicle

Jamadar, Najmuddin M.; Jadhav, Himmat T

doi:10.1177/0954407021996906

Cited by 19 publications

(11 citation statements)

References 93 publications

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“…In the control research of related braking systems, certain research results [1][2][3] have also been achieved. Among them, the regenerative braking control strategy of EQ6110 hybrid electric vehicle as the research object is one of the more common control means.…”

Section: Introductionmentioning

confidence: 99%

Automatic control method of diesel locomotive braking system based on PLC technology

Gao

2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

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Aiming at the problems of high overshoot rate and low reliability of diesel locomotive braking system control during the control stage, an automatic control method for diesel locomotive braking system based on PLC technology is proposed. Combined with the brake cylinder, brake, brake pipeline and control device of diesel locomotive braking system, the factors affecting the braking effect of diesel locomotive are comprehensively analyzed from the practical point of view. Use PLC to receive the specific operation signal information from the diesel locomotive braking system, which mainly consists of the brake cylinder, brake, brake pipeline and control device. The specific control objects are the brake cylinder and brake of the diesel locomotive braking system. In order to ensure the control accuracy, PLC receives the real-time signal parameters from the speed sensor and speed sensor, and uses them as the benchmark for correcting the braking force and braking time. The experimental results show that the overshoot rate of the response signal of the diesel locomotive braking system is stable within 2.24%, indicating that the proposed method has high reliability in the automation control of the diesel locomotive braking system.

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Section: Introductionmentioning

confidence: 99%

Automatic control method of diesel locomotive braking system based on PLC technology

Gao

2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

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“…The reported CCSs can be categorized into two groups based on their objectives: optimization-oriented control CCSs [6,7] and real-time capability-oriented CCSs [8,9]. Optimization-oriented control CCSs rely on offline methods to generate reference quantities and trajectories for achieving optimized control performance, such as dynamic programming (DP) [10,11] and particle swarm optimization (PSO) [12,13].…”

Section: Introductionmentioning

confidence: 99%

RBS and ABS Coordinated Control Strategy Based on Explicit Model Predictive Control

Chu,

Li,

Guo

et al. 2024

Sensors

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During the braking process of electric vehicles, both the regenerative braking system (RBS) and anti-lock braking system (ABS) modulate the hydraulic braking force, leading to control conflict that impacts the effectiveness and real-time capability of coordinated control. Aiming to enhance the coordinated control effectiveness of RBS and ABS within the electro-hydraulic composite braking system, this paper proposes a coordinated control strategy based on explicit model predictive control (eMPC-CCS). Initially, a comprehensive braking control framework is established, combining offline adaptive control law generation, online optimized control law application, and state compensation to effectively coordinate braking force through the electro-hydraulic system. During offline processing, eMPC generates a real-time-oriented state feedback control law based on real-world micro trip segments, improving the adaptiveness of the braking strategy across different driving conditions. In the online implementation, the developed three-dimensional eMPC control laws, corresponding to current driving conditions, are invoked, thereby enhancing the potential for real-time braking strategy implementation. Moreover, the state error compensator is integrated into eMPC-CCS, yielding a state gain matrix that optimizes the vehicle braking status and ensures robustness across diverse braking conditions. Lastly, simulation evaluation and hardware-in-the-loop (HIL) testing manifest that the proposed eMPC-CCS effectively coordinates the regenerative and hydraulic braking systems, outperforming other CCSs in terms of braking energy recovery and real-time capability.

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“…Many research and review articles have focused on individual topics of control strategies used in RBS, and its design considerations, etc. But very few literature papers have provided a complete overview and critical analysis of the RBS as a whole 40‐43 . The different literature gaps as shown in Figure 3, keeping that in mind, and to bridge the gap, this paper attempts to provide a critical review of all the aspects involved in an efficient RBS.…”

Section: Introductionmentioning

confidence: 99%

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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A review on braking control and optimization techniques for electric vehicle

Cited by 19 publications

References 93 publications

Automatic control method of diesel locomotive braking system based on PLC technology

Automatic control method of diesel locomotive braking system based on PLC technology

RBS and ABS Coordinated Control Strategy Based on Explicit Model Predictive Control

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

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