Collaborative control of a dual electro-hydraulic regenerative brake system for a rear-wheel-drive electric vehicle

Nadeau, Jonathan; Micheau, Philippe; Boisvert, Maxime

doi:10.1177/0954407018754678

Cited by 20 publications

(16 citation statements)

References 33 publications

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“…When it comes to the design of braking system for EVs, the braking energy recovery should be highly considered. Therefore, the braking force distribution curve should be designed between the I-curve and ECE regulation curve [31], [32]. In this paper, a partition braking force distribution strategy is designed and applied according to braking intensity [33], where five regions are divided as shown in Fig.…”

Section: B Braking Force Distributionmentioning

confidence: 99%

Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System

Zhu

Zhang

2020

IEEE Access

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To improve braking performance and regenerative energy of front drive electric vehicles (EVs) driven by switched reluctance motor (SRM), a regenerative braking control strategy based on multi-objective optimization of switched reluctance generator (SRG) drive system is proposed in this paper. Firstly, a partition braking force distribution strategy is developed by jointly considering braking energy and safety, and SRG drive system model is established based on low and high-speed condition. The vehicle braking system model including mechanic and regenerative braking system is built. Then, a multi-objective optimization function with three weight factors is defined, where output generated power, torque smoothness, and current smoothness are selected as optimization objectives to improve the driving range, braking comfort, and battery lifetime, respectively. Furthermore, a multi-objective optimization controller with variable switch angles is designed and combined with vehicle braking system. Finally, braking energy recovery efficiency, braking smoothness, and charging current smoothness under the multi-objective optimization controller for SRG are analyzed and compared with those under output power optimization controller. The comparison results show that the regenerative braking control strategy based on multi-objective optimization of SRG can effectively increase the vehicle braking comfort and improve battery lifetime without decreasing recovery energy.

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Section: B Braking Force Distributionmentioning

confidence: 99%

Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System

Zhu

Zhang

2020

IEEE Access

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“…The MEH-DCDS is designed in combination with the working principle and characteristics of electro-hydraulic transmission [22][23][24]. Based on purely electric vehicles, high and low hydraulic accumulators are added.…”

Section: The Working Principle Of the Meh-dcdsmentioning

confidence: 99%

Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle

et al. 2020

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To simplify the layout of a purely electric vehicle transmission system and improve the acceleration performance of the vehicle, this paper utilizes the characteristics of the large torque of a hydraulic transmission system and proposes a new mechanical–electric–hydraulic dynamic coupling drive system (MEH-DCDS). It integrates the traditional motor and the swashplate hydraulic pump/motor into one, which can realize the mutual conversion between the mechanical energy, electrical energy, and hydraulic energy. This article explains its working principle and structural characteristics. At the same time, the mathematical model for the key components is established and the operation mode is divided into various types. Based on AMESim software, the article studies the dynamic characteristics of the MEH-DCDS, and finally proposes a method that combines real-time feedback of the accumulator output torque with PID control to complete the system simulation. The results show that the MEH-DCDS vehicle has a starting time of 4.52 s at ignition, and the starting performance is improved by 40.37% compared to that of a pure motor drive system vehicle; after a PID adjustment, the MEH-DCDS vehicle’s starting time is shortened by 1.04 s, and the acceleration performance is improved by 23.01%. The results indicated the feasibility of the system and the power performance was substantially improved. Finally, the system is integrated into the vehicle and the dynamic performance of the MEH-DCDS under cycle conditions is verified by joint simulation. The results show that the vehicle is able to follow the control speed well when the MEH-DCDS is loaded on the vehicle. The state-of-charge (SOC) consumption rate is reduced by 20.33% compared to an electric vehicle, while the MEH-DCDS has an increased range of 45.7 m compared to the EV. This improves the energy efficiency and increases the driving range.

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“…19 The braking force that the regenerative braking system can provide is limited, resulting in the inability to form the large additional yaw moment under some special conditions. 20 Nadeau et al 21 used the regenerative braking system and the hydraulic braking system to design an electro-hydraulic composite braking scheme, using the hydraulic system to compensate the braking force to form the target yaw moment of the ESC system. However, the weakness of ESC lies in the reduction of speed and longitudinal acceleration caused by braking.…”

Section: Introductionmentioning

confidence: 99%

Coordinated control of distributed drive electric vehicle by TVC and ESC based on function allocation

Liang

Wang

Chen

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Safe and comfortable driving experience includes the improvement of handling performance and stability control. This paper proposed a coordinated controller based on the function allocation for the handling performance and stability of distributed drive electric vehicles. The proposed controller has three layers. The upper control layer designs a dynamic stability envelope boundary suitable for various driving conditions through the phase plane method, and on this basis, the function allocation rules of torque vector control (TVC) strategy and electronic stability control (ESC) strategy were formulated. The medium control layer used the robust [Formula: see text] dynamic output feedback control method and the improved particle swarm optimization (PSO) parameter self-adjusting method to calculate the additional yaw moment required by the TVC strategy and the ESC strategy, respectively. The two types of additional yaw moment are implemented by the in-wheel motor and the hydraulic brake mechanism respectively. The lower control layer optimized the four-wheel torque and braking force based on the optimal tire load rate using the quadratic programming method. The proposed coordinated controller was performed in the CarSim/Simulink co-simulation platform and tested in a real vehicle platform. The results show that the proposed controller can improve the vehicle dynamic response according to the driver’s intention, thus bringing the better handling performance and stability.

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Collaborative control of a dual electro-hydraulic regenerative brake system for a rear-wheel-drive electric vehicle

Cited by 20 publications

References 33 publications

Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System

Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System

Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle

Coordinated control of distributed drive electric vehicle by TVC and ESC based on function allocation

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