Comfort braking control for brake-by-wire vehicles

Zhang, Jinhua; Sun, Wei; Liu, Zhiyuan; Zhang, Ming

doi:10.1016/j.ymssp.2019.106255

Cited by 22 publications

(14 citation statements)

References 37 publications

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“…Considering the output generated power, an output power factor K Pout calculated by means of optimized output power and maximum power is expressed as equation (16). Similarly, the torque smoothness factor K τ and current smoothness factor K Is are also defined as shown in equation (16).…”

Section: Comparison and Analysis Of Resultsmentioning

confidence: 99%

“…In order to increase the driving range of EVs, braking system in EV is generally combined by mechanical braking and regenerative braking [11]. In recent years, to improve the braking system performance of EVs, a host of research has been carried out in the fields of energy management of EVs [12]- [14], emergency braking control strategies [15], and anti-lock braking system (ABS) [16]. Besides, the coupling control for mechanical and regenerative braking force was also researched to improve the braking performance.…”

Section: Introductionmentioning

confidence: 99%

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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: Comparison and Analysis Of Resultsmentioning

confidence: 99%

Section: Introductionmentioning

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 system's predictive output sequence can be obtained through iteration. The compact matrix form is shown as Equation (12). Y = Fx(k i ) + H∆U (12) where:…”

Section: Mpc Controller Designmentioning

confidence: 99%

“…The Anti-lock Brake System (ABS) [11], which was the first active safety system to improve braking safety, has become a critical component for vehicles. Later, the Traction Control System (TCS), ABS expansion [12], Electronic Brake Force Distribution (EBD), the Tire Pressure Monitoring System (TPMS), the Roll Stability Control system (RSC) [11], and the Electronic Stability Control system (ESC) [13] were also developed sequentially and have been widely used in passenger cars. The emergence of the Electronic Braking System (EBS) [14] has dramatically improved the safety of commercial vehicles.…”

Section: Introductionmentioning

confidence: 99%

Gain-Scheduled Model Predictive Control for a Commercial Vehicle Air Brake System

Deng

2021

Processes

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This paper presents a control-oriented Linear Parameter-Varying (LPV) model for commercial vehicle air brake systems with the electro-pneumatic proportional valve based on the nonlinear mathematical model, a set of discrete-time linearized models at different target pressures with the q-Markov Cover system identification method. The scheduled parameters for the LPV model were the brake chamber pressure, which was controlled by the electro-pneumatic proportional valve. On the basis of the LPV model, a family of Model Predictive Control (MPC) controllers with a Kalman filter was designed at each operation point. Then, the gain-scheduled MPC was designed over the entire operating range with the switched strategy, which was validated by experimental data. Furthermore, compared with the PID controller, the performance of the system was improved with a gain-scheduled MPC controller.

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“…With variable servo ratio control, the system gives driver the sense of relief and reduction of pedal load on the further stepping-on of the pedal. Zhang et al 12 established a comfort braking dynamic model for brake-by-wire vehicles with an observer-based robust controller, which simultaneously address braking safety and ride comfort problems.…”

Section: Introductionmentioning

confidence: 99%

Variable transmission ratio strategy for improving brake feeling based on driver’s target braking strength

Shi

Wang

Chen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Due to the absence of vacuum sources for electric vehicle, the vacuum booster is replaced by electronic brake boosting (EBB) system. In order to improve the driver’s brake feeling based on EBB, this work fully exploits the flexible and variable power-assisted characteristics, and designs different transmission ratios according to the driver’s target braking strength. To identify the driver’s braking strength, an improved radial basis function (IRBF) neural network, combining self-organization method and supervised learning method, is proposed to establish the relationship between the driver’s braking strength and the characteristic parameters. Based on this, the variable transmission ratio strategy is designed, and its main optimized parameters are optimized by means of multi-objective optimization algorithm to provide the driver with a satisfactory brake feeling. The strategies under fixed and variable transmission ratios are simulated and analyzed in low-speed with gentle-brake and high-speed with emergency-brake. The simulation results show that, compared with the fixed transmission ratio, the proposed variable transmission ratio shows excellent performances in both brake feeling and brake safety.

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Comfort braking control for brake-by-wire vehicles

Cited by 22 publications

References 37 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

Gain-Scheduled Model Predictive Control for a Commercial Vehicle Air Brake System

Variable transmission ratio strategy for improving brake feeling based on driver’s target braking strength

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