Cooperative control for friction and regenerative braking systems considering dynamic characteristic and temperature condition

Kwon, Minho; Park, J. H.; Gwak, GiSung; Huh, Jeewook; Choi, Hoseung; Hwang, Sung Ho

doi:10.1007/s12239-016-0045-6

Cited by 17 publications

(6 citation statements)

References 9 publications

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“…With the increase of the braking urgency, mechanical friction braking gets involved gradually. In emergency braking process, only mechanical brake works to ensure the safety and reliability of the braking process [6][7][8][9][10].…”

Section: Motivations and Technicalmentioning

confidence: 99%

A Braking Intention Identification Method Based on Data Mining for Electric Vehicles

Wang

Tang

et al. 2019

Mathematical Problems in Engineering

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A braking intention identification method based on empirical mode decomposition (EMD) algorithm and entropy theory for electric vehicles is proposed. EMD algorithm is given to decompose nonstationary brake pedal signal to stationary intrinsic mode function (IMF), which is the base of data mining. After that, entropy theory is used to extract brake pedal signal features. A braking intention identification model is built based on fuzzy c-means clustering algorithm. The hardware and software for braking intention identification system based on this method is set up to do offline and real-time experiments. The results show that the identification method proposed in this paper has good real-time quality and can distinguish moderate braking intention and gentle braking intention better.

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Section: Motivations and Technicalmentioning

confidence: 99%

A Braking Intention Identification Method Based on Data Mining for Electric Vehicles

Wang

Tang

et al. 2019

Mathematical Problems in Engineering

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“…This method improves the system dynamic performance to some extent but does not fundamentally eliminate the response characteristics difference between the two braking subsystems. Kwon et al [31] used proportional-integral (PI) control to make the motor torque response time controllable and improved the transient characteristics of the composite braking system by controlling the response speed of the motor and hydraulic braking system to be consistent. Xu et al [14] proposed a torque compensation strategy based on fuzzy PI control, using regenerative braking to compensate for the response lag when the pneumatic braking is involved and using pneumatic braking to compensate for the torque deficit when the regenerative braking is withdrawn, but the torque compensation capacity of the motor and the torque compensation speed of the pneumatic braking system were not considered.…”

Section: Introductionmentioning

confidence: 99%

Study on Braking Energy Recovery Control Strategy for Four-Axle Battery Electric Heavy-Duty Trucks

Zhao

et al. 2023

International Journal of Energy Research

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Regenerative braking can extend the driving range and reduce PM emissions from abrasion for battery electric heavy-duty trucks (BETs). The composite braking control strategy including torque distribution and dynamic coordinated control for the four-axle BET equipped with the electromechanical braking system is studied. A segmented torque distribution strategy is proposed to maximize energy recovery while ensuring braking stability. The simulation results reveal that the strategy shows better comprehensive braking performance than the two benchmark strategies, and the energy recovery rate in different load states under CHTC-D is above 40%. The proposed coordinated control strategy takes advantage of regenerative braking’s rapid response and precise control to compensate for torque deviations caused by the hysteresis of friction braking. For two common braking mode transition conditions, regenerative braking torque correction and advance of the mode switching timing are adopted to enable the motor to obtain the torque compensation ability. This method leads to a slight loss of braking energy, and the maximum torque deviation during the mode switching process is suppressed to less than 1.4 kN·m, and the jerk and braking distance is reduced accordingly, which is of great importance in improving driving comfort and braking safety.

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“…Similarly, to recover more braking energy, a braking torque distribution control algorithm, which transferred the available maximum braking torque for the motor output to the braking process and supplemented the remaining required braking torque by the hydraulic system, was proposed in [8]. A brake torque distribution strategy adopting compensation control to improve the efficiency of energy recovery by analyzing the difference between the dynamic characteristics of the hydraulic brake system and the regenerative braking system was proposed in [9]. In the above studies, the regenerative braking system (RBS) and anti-lock braking system (ABS) were coordinated to increase the ratio of the motor braking torque and output braking torque under normal braking conditions to recover more braking energy.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Coordinated Control for Regenerative Braking System and Anti-Lock Braking System for Electrified Vehicles Under Emergency Braking Conditions

Yang

Tang

et al. 2020

IEEE Access

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The economy of electrified vehicles can be improved by using the motor to recover the energy released during braking. However, the vehicle's regenerative braking system (RBS) and anti-lock braking system (ABS) are not compatible, so the energy dissipated during braking cannot be recovered under emergency braking conditions. This paper employs the method of logic threshold control combined with phase plane theory to analyze the relationship between the slip rate and the braking torque during the ABS braking process and to obtain the composition rule of the braking torque required for ABS braking. Based on this rule, a control strategy to coordinate RBS and ABS when triggering ABS is proposed to improve the efficiency of braking energy recovery. Furthermore, a comparative simulation is conducted to analyze the braking performance of electrified vehicle on roads with different adhesion coefficients by adopting the proposed control strategy and the traditional control strategy. The results show that, compared with the traditional coordinated control strategy, the braking energy recovery efficiency of the proposed coordinated control strategy is improved by 23.08%-38.54%, and can effectively shorten the braking distance and braking time, with better braking performance. Therefore, this paper offers a useful theoretical reference to the design of RBS and ABS coordinated control strategies for electrified vehicles. INDEX TERMS Anti-lock braking system, Coordinated control strategy, Energy recovery, Regenerative braking.

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Cooperative control for friction and regenerative braking systems considering dynamic characteristic and temperature condition

Cited by 17 publications

References 9 publications

A Braking Intention Identification Method Based on Data Mining for Electric Vehicles

A Braking Intention Identification Method Based on Data Mining for Electric Vehicles

Study on Braking Energy Recovery Control Strategy for Four-Axle Battery Electric Heavy-Duty Trucks

Dynamic Coordinated Control for Regenerative Braking System and Anti-Lock Braking System for Electrified Vehicles Under Emergency Braking Conditions

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