Study on Requirements for Load Emulation of the Vehicle With an Electric Braking System

Zhang, Zhongshi; Wang, Lifang; Zhang, Junzhi; Ma, Ruihai

doi:10.1109/tvt.2017.2739425

Cited by 29 publications

(8 citation statements)

References 27 publications

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“…12 As shown in Figure 4, to maintain the wheel slip ratio switching between friction and regenerative braking is achieved by sliding mode control mechanism and this approach increases the participation of RBS to achieve maximum energy recovery. 13 The model predictive control technique controls, mechanical and the regenerative brake system which improves regeneration efficiency to 68.45%. This system is tested with the ''NEDC'' cycle and contributes 5.1% more efficiency than rule-based control method.…”

Section: Optimization Based Strategiesmentioning

confidence: 99%

A review on braking control and optimization techniques for electric vehicle

Jamadar

Jadhav²

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this modern world, due to limited fossil fuels, increasing cost, and environmental concerns a clean and sustainable transportation system in the form of electric vehicles (EV) is now becoming popular. On the other hand, electric vehicles have an advantage such as zero-emission, less maintenance, comfortable ride, less noise, etc. An electric vehicle is driven by an electric motor so considering driving patterns and road traffic conditions the vehicle often requires braking operation. The most common method is to employ mechanical brakes to reduce the speed of EV. However, mechanical braking mechanism results in friction which in turn, into heating losses and reduces the efficiency of EV. Therefore, regenerative braking system (RBS) and energy management system are employed in addition to mechanical braking for increasing the braking efficiency of the EV system. It is reported in many literatures about different regenerative braking control techniques for EV systems. This paper presents a review of regenerative braking and braking energy management techniques by considering different driving situations and road conditions.

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Section: Optimization Based Strategiesmentioning

confidence: 99%

A review on braking control and optimization techniques for electric vehicle

Jamadar

Jadhav²

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…A control method for braking system friction modeling and friction compensation to improve braking accuracy [25], [26]. The braking method of operation parameter optimization, which is influenced by dynamic change of load, loss of battery and motor, brake sensation adjustment and other factors [27]- [31]. For comfort, braking force optimization, jitter compensation, emergency braking control improvement, etc [32]- [36].…”

Section: Core Components and Key Technologies Of Brake-by-wire Symentioning

confidence: 99%

A Survey of Brake-by-Wire System for Intelligent Connected Electric Vehicles

et al. 2020

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Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global automotive industry to make transportation safer, cleaner and more comfortable. As an important component of intelligent connected EVs, the brake-by-wire (BBW) system is the key to determining the performance of the vehicle and the efficiency of braking energy recovery. BBW systems are showing great promise in the area of vehicle braking due to the increasing requirements on safety and energy efficiency of vehicles. In recent years, BBW systems have undergone great changes in terms of structure and control methods, not only increasing safety and energy recovery efficiency, but also integrating more functions. Although important advancements have been achieved in this field, these works have not been fully summarised. This paper surveys and summarizes the research in literature to bring topical information to the field of intelligent transportation systems. The objective of this study is to present an overview of both the development trend and key technologies of the BBW system for intelligent connected EVs. Firstly, the development, structure and core components of BBW system are described. Secondly, the control method and control strategy of BBW system are analyzed. As much as the system shows great promise, the problems existing on its current technology should be addressed as well. Finally, some important countermeasures are proposed to solve the existing technical problems of the BBW system.

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“…In Reference [19,20], non-linear factors of the test bench are analyzed, and the effects of elasticity and backlash nonlinearity on the system performance are fully considered. Aiming at the high-order, non-linear, and multi-variable characteristics of the test-bed system, control methods suitable for each test-bed are proposed.…”

Section: Introductionmentioning

confidence: 99%

Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

Zhou

Yang

et al. 2019

Applied Sciences

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The load simulation test bench plays an important role in tracked vehicle development. The stability and accuracy of the system have a vital impact on the experimental results. To accurately reproduce the power performance of a tracked vehicle on the test platform, this paper aims to investigate the model, control, and calibration method of the test bench. Firstly, the dynamic model of a tracked vehicle under complex driving conditions is analyzed and established, which takes driving torque as the input and driving wheel speed as the output. Then, considering the uncertainties and disturbances in the system model, a 2-degree-of-freedom (2-DOF) control method combined with a disturbance observer is proposed to solve the stability problem of the system. Furthermore, in order to investigate the accuracy of the simulation on the test bed, a method of calibrating the system by a flywheel set with standard inertia is proposed. In the calibration process, the influence of the system resistance torque and the original mechanical inertia on the results is considered, and the response time of the inertia simulation is analyzed in both a steady and dynamic state. Finally, the load simulation test is carried out with the corrected system. The test results show that the system has a high load simulation accuracy under various load simulation tests.

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Study on Requirements for Load Emulation of the Vehicle With an Electric Braking System

Cited by 29 publications

References 27 publications

A review on braking control and optimization techniques for electric vehicle

A review on braking control and optimization techniques for electric vehicle

A Survey of Brake-by-Wire System for Intelligent Connected Electric Vehicles

Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

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