Brake blending and torque vectoring of road electric vehicles: a flexible approach based on smart torque allocation

Pugi, Luca; Favilli, Tommaso; Berzi, Lorenzo; Locorotondo, Edoardo; Pierini, Marco

doi:10.1504/ijehv.2020.106339

Cited by 35 publications

(13 citation statements)

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“…19 In order to realize the accurate hydraulic control of EHB system, it is necessary to accurately estimate the equivalent friction F hf of the whole hydraulic system. 20 LuGre friction model is introduced here to estimate it. 21 The mathematical expression of LuGre friction model is as follows.…”

Section: Architecture and Modeling Of Regenerative Braking Torque Com...mentioning

confidence: 99%

Regenerative braking torque compensation control based on improved ADRC

Zhao

Wang

Xia

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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Electro-hydraulic braking (EHB) compensation is an effective method to solve the insufficient regenerative braking of electric vehicles, but the accuracy and speed of executive pressure response are still insufficient. In order to solve this problem, a brake pressure compensation control method based on EHB system is proposed and verified. Firstly, adaptive LuGre friction model and braking dead time compensation are introduced to obtain a more accurate friction model. Then, an electro-hydraulic braking control strategy based on Improved Active Disturbance Rejection Control (IADRC) is proposed. Finally, the effectiveness of the proposed method is verified by simulation experiments and hardware-in-the-loop (HIL) simulation experiments. The test results show that the proposed control method can achieve accurate control of brake pressure compensation in time. The research results promote the research and application of EHB system to a certain extent.

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Section: Architecture and Modeling Of Regenerative Braking Torque Com...mentioning

confidence: 99%

Regenerative braking torque compensation control based on improved ADRC

Zhao

Wang

Xia

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…To maintain vehicle brake torque allocation in stability limits need to optimize the control of blended electric and mechanical brake system. 62 The degraded adhesion is difficult to verify during braking, under such case the state of vehicle is estimated by vehicle longitude velocity. To ensure stability under degraded adhesion, the fuzzy controller is designed which determines vehicle state and corrects wheel sliding and yaw angle.…”

Section: Effects Of Brake System On Directional Stability Of Vehiclementioning

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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“…[1][2][3] As the key technologies of EVs and HEVs, regenerative braking can convert kinetic energy into electricity, which improves fuel economy immensely. [4][5][6][7] The structure and control strategy of regenerative braking system has a tremendous impact on the capacity for energy recovery. The structure of regenerative braking system is usually classified into two types: the series structure and the parallel structure.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective regenerative braking control strategy combining with velocity optimization for connected vehicles

Liu

Han

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Deceleration is unavoidable owing to the traffic lights or obstacles during driving, which lead to great energy dissipation. To promote energy utilizing efficiency, regenerative braking is applied to convert kinetic energy into electricity. Previous researches about regenerative braking concentrate on the braking torque allocation optimization, which is undoubtedly important. Moreover, the control performance can be further improved combining with velocity optimization. With the emerging Connected Vehicle Technology, environmental information is available for vehicles. Therefore, the terminal braking distance and terminal velocity can be derived utilizing the information. Then a multi-objective regenerative braking control strategy based on the pesudospectral method is proposed with the terminal constraints. The control strategy optimizes both the velocity and braking torque allocation to reduce the energy dissipation and battery capacity loss simultaneously. Simulations are carried out under a speed bump scenario. Pareto front is obtained with different weights of the objectives and then analyzed to reveal the tradeoff between energy recovery and battery health, which assists in finding a desired balanced solution. Two representative Pareto optimal solutions are selected for comparison: the energy recovery priory strategy and the energy-life tradeoff strategy. Compared with the energy priory strategy, the energy-life tradeoff strategy decreases the battery capacity loss by 60.65%, but it leads to a 36.07% reduction in the energy recovery.

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Brake blending and torque vectoring of road electric vehicles: a flexible approach based on smart torque allocation

Cited by 35 publications

References 0 publications

Regenerative braking torque compensation control based on improved ADRC

Regenerative braking torque compensation control based on improved ADRC

A review on braking control and optimization techniques for electric vehicle

A multi-objective regenerative braking control strategy combining with velocity optimization for connected vehicles

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