Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor

Yang, Yang; He, Qiang; Chen, Yongzheng; Fu, Chunyun

doi:10.3390/en13030711

Cited by 18 publications

(6 citation statements)

References 24 publications

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“…In this paper, we studied the front-drive hybrid electric vehicle, so the braking force should be properly distributed to the front wheel. In the case of passenger cars, the ECE-R13 braking regulations clearly require the distribution of braking force between the front and rear axles [13]:…”

Section: Relationship Between Braking Strength and Braking Force Dist...mentioning

confidence: 99%

Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

et al. 2021

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This paper proposes a double layered multi parameters braking energy recovery control strategy for Hybrid Electric Vehicle, which can combine the mechanical brake system with the motor brake system in the braking process to achieve higher energy utilization efficiency and at the same time ensure that the vehicle has sufficient braking performance and safety performance. The first layer of the control strategy proposed in this paper aims to improve the braking force distribution coefficient of the front axle. On the basis of following the principle of braking force distribution, the braking force of the front axle and the rear axle is reasonably distributed according to the braking strength. The second layer is to obtain the proportional coefficient of regenerative braking, considering the influence of vehicle speed, braking strength, and power battery state of charge (SOC) on the front axle mechanical braking force and motor braking force distribution, and a three-input single-output fuzzy controller is designed to realize the coordinated control of mechanical braking force and motor braking force of the front axle. Finally, the AMESim and Matlab/Simulink co-simulation model was built; the braking energy recovery control strategy proposed in this paper was simulated and analyzed based on standard cycle conditions (the NEDC and WLTC), and the simulation results were compared with regenerative braking control strategies A and B. The research results show that the braking energy recovery rate of the proposed control strategy is respectively 2.42%, 18.08% and 2.56%, 16.91% higher than that of the control strategies A and B, which significantly improves the energy recovery efficiency of the vehicle.

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Section: Relationship Between Braking Strength and Braking Force Dist...mentioning

confidence: 99%

Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

et al. 2021

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“…From the analyses, the optimal objectives in the [5][6][7][8][9][10][11][12][13] are the structural parameters, and the objectives in the [14][15][16][17][18] are the control parameters. Except for the [14] and the [17], the objectives in other studies are limited to improving the brake responses and reducing its size and weight.…”

Section: Plos Onementioning

confidence: 99%

“…In He and Wang's study, a dynamic model and braking force distribution strategy of the new brake were established, and a multidisciplinary collaborative optimization was proposed, and the control parameters were optimized [15]. In the [16], a regenerative braking control strategy was proposed, and the energy recovery distribution coefficient was optimized under the constraints of the regenerative braking power and the ideal braking distribution curve (I-curve). Liu, Lei et al also proposed a regenerative braking control strategy, while the braking performance, the regenerative braking and battery loss rates were set as objectives [17].…”

Section: Introductionmentioning

confidence: 99%

Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters

Qin

2021

PLoS ONE

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Excellent braking performance is the premise of safe driving, and improve the braking performance by upgrading structures and optimizing parameters of braking systems has become the pursuit of engineers. With the development of autonomous driving and intelligent connected vehicle, new structural schemes such as electro–mechanical brakes (EMBs) have become the future of vehicle braking systems. Meanwhile, many scholars have dedicated to the research on the parameters optimization of braking systems. While, most of the studies focus on reducing the brake size and weight, improving the brake responses by optimizing the parameters, almost not involving the braking performance, and the optimization variables are relatively single. On these foundations, a multi–objective optimal design of EMB parameters is proposed to enhance the vehicle’s braking performance. Its objectives and constraints were defined based on relevant standards and regulations. Subsequently, the decision variables were set, and optimal math model was established. Furthermore, the co–simulation platform was constructed, and the optimal design and simulation analyses factoring in the crucial structural and control parameters were performed. The results confirmed that the maximum braking pressure response time of the EMB is decreased by approximately 0.3 s, the stopping distance (SD) of 90 km/h–0 is shortened by about 3.44 m. Moreover, the mean fully developed deceleration (MFDD) is increased by 0.002 g, and the lateral displacement of the body (LD) is reduced by about 0.037 m. Hence, the vehicle braking performance is improved.

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“…2 A regenerative braking control plan was proposed, which improves the energy recovery efficiency by 1.18% compared with the traditional braking strategy. 3 Based on a rear-wheel drive hybrid electric vehicle, a new combined control of the motor braking system and hydraulic braking system was proposed. Then, the sharing of the braking force between the driving and driven axles was analyzed to maintain stable braking.…”

Section: Introductionmentioning

confidence: 99%

Intelligent optimization of EV comfort based on a cooperative braking system

Zhao

Min

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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To address the comfort of an electric vehicle, a coupling mechanism between mechanical friction braking and electric regenerative braking was studied. A cooperative braking system model was established, and comprehensive simulations and system optimizations were carried out. The performance of the cooperative braking system was analyzed. The distribution of the braking force was optimized by an intelligent method, and the distribution of a braking force logic diagram based on comfort was proposed. Using an intelligent algorithm, the braking force was distributed between the two braking systems and between the driving and driven axles. The experiment based on comfort was carried out. The results show that comfort after optimization is improved by 76.29% compared with that before optimization by comparing RMS value in the time domain. The reason is that the braking force distribution strategy based on the optimization takes into account the driver’s braking demand, the maximum braking torque of the motor, and the requirements of vehicle comfort, and makes full use of the braking torque of the motor. The error between simulation results and experimental results is 5.13%, which indicates that the braking force’s distribution strategy is feasible.

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Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor

Cited by 18 publications

References 24 publications

Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters

Intelligent optimization of EV comfort based on a cooperative braking system

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