Efficacy of Haptic Pedal Feel Compensation on Driving With Regenerative Braking

Caliskan, Umut; Patoğlu, Volkan

doi:10.1109/toh.2020.2967394

Cited by 16 publications

(3 citation statements)

References 15 publications

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“…For the third category, in order to ensure the consistency of pedal feel during regenerative braking and hydraulic braking switching, a control strategy for pedal feel consistency was studied in the literature. 17 Document 18 proposed a control strategy of an electro-hydraulic braking system, which can compensate for the disturbance caused by regenerative braking and ABS intervention, and will not affect the brake pedal feel. In reference, 19 in order to avoid the interference of the brake pedal feel when the regenerative braking and friction brake are switched or the anti-lock brake system intervenes, a control method of the electro-hydraulic braking system is proposed.…”

Section: Introductionmentioning

confidence: 99%

Research on a novel electro-hydraulic brake system and pedal feel control strategy

Xuan-yao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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The existing electro-hydraulic brake system does not consider the adverse effect of the failure of the brake pedal feel simulator on the function of the braking system and the driving safety of the vehicle. To solve the above problems, a novel electro-hydraulic brake system is proposed. Firstly, the structural scheme and the working modes of the system are analyzed, and the electro-hydraulic brake system model is established, and a control strategy for the controlling of the wheel cylinder pressure is put forward. Then, the pedal feel control strategy is studied, which can simulate arbitrary pedal characteristics by controlling the output torque of the motor. Moreover, for the failure of the pedal travel sensor, a pedal displacement estimation method is proposed based on the pressure sensor information of the front chamber of the master cylinder. And for the failure of the pedal feel simulation motor, the pressure of the front chamber of the master cylinder is controlled by adjusting the opening of the pedal feel simulation valve to realize the simulation of the pedal feel. The simulation results based on CarSim/AMESim/Simulink show that the proposed electro-hydraulic brake system has fast pressure response speed and quick pressure tracking accuracy. The pedal characteristics are essentially unchanged before and after the failure of the pedal feel simulation motor or the pedal travel sensor.

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Section: Introductionmentioning

confidence: 99%

Research on a novel electro-hydraulic brake system and pedal feel control strategy

Xuan-yao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…Some scholars have used finite element analysis to determine the vibration characteristics of automotive seating systems, emphasizing the importance of driver/occupant ride comfort. 12 Caliskan and Patoglu 13 investigated the effect of tactile pedal sensory compensation on driving safety and performance during regenerative braking, where inadequate compensation leads to stiffer or softer pedal sensory characteristics, which affects vehicle driving safety. Yan et al 14 and other scholars evaluated driver comfort by analyzing the effect of clutch pedal vibration generated by clutch release, and then developed and built a corresponding test rig to verify the conclusions of the accuracy and validity.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and prediction method of automotive electronic accelerator pedal based on support vector regression

Wang

Miao

Tan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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In the process of automobile electronic accelerator pedal development, it is a critical and challenging issue to evaluate the rationality and comfort of the design of an automotive electronic accelerator pedal. Many factors influence the comfort of the accelerator pedal, such as the spatial layout, dynamic characteristics, and matching characteristics of the accelerator pedal and vehicle motion. Since comfort evaluation requires a lot of manpower and material resources, this paper proposes a prediction model based on support vector machine regression algorithm (SVR) for comprehensive evaluation of Chinese passenger car pedals. It uses the known evaluation results to predict the unknown evaluated accelerator pedal parameters to achieve a more efficient and accurate assessment of electronic accelerator pedal design. Firstly, the article performs pedal position scans, pedal static, and road tests to give criteria, limitations, and recommended design ranges for pedal operation. Then, the vehicle performance was predicted and evaluated using a support vector machine prediction model and back propagation (BP) neural network prediction model for comparison. The correlation coefficient for the prediction results of the SVR model was 0.9024 with a mean square error was 0.00195. The correlation coefficient for the BP neural network model prediction result was 0.8694 with a mean square error of 0.00582. Finally, the simulation results were analyzed, and the results showed that support vector regression outperformed the neural network in predicting the validity and reliability of pedal design and performance evaluation, and can facilitate automotive pedal design and development.

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“…Ref. [24] investigates the performance of haptic pedal feel compensation for improving driving comfort of SPD. The experimental results indicate that the haptic pedal feel compensation can minimize the solid braking instance and smooth the driving comfort evidently.…”

mentioning

confidence: 99%

Driving behavior oriented torque demand regulation for electric vehicles with single pedal driving

Zhang

Huang

Chen

et al. 2021

Energy

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Driving behaviors, induced by psychological activities and environment stimulation, impose the dominant impact on vehicle driving performance. To exhaustively improve the performance of electric vehicles (EVs), information unscrambled from various driving behaviors is recommended to be incorporated into the controlling process. In this context, a novel method is presented to regulate the torque demand of EVs with single pedal driving (SPD) by efficiently interpreting intention from different driving behaviors for eco driving.Specifically, a brand-new driving behavior identifier (DBI) is constructed by integrally employing the binary dragonfly algorithm (BDA) and adaptive neuro-fuzzy inference system with particle swarm optimization (ANFIS-PSO). Simultaneously, the whale optimization algorithm (WOA) generates the torque demand look-up tables (TDLTs) offline under different driving behaviors for SPD by referring to the constraints from drivability and energy efficiency. In the instant implementation, the driving behaviors are identified instantaneously by the DBI, and the homologous TDLTs are assigned to vehicle controller, thereby attaining efficient control of vehicle powertrain. A case study about the vehicle traction control is performed to validate the prospective optimal performance of the proposed method and further evaluate the impact on vehicle performance from driving behaviors. Equation Chapter 1 Section 1

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Efficacy of Haptic Pedal Feel Compensation on Driving With Regenerative Braking

Cited by 16 publications

References 15 publications

Research on a novel electro-hydraulic brake system and pedal feel control strategy

Research on a novel electro-hydraulic brake system and pedal feel control strategy

Evaluation and prediction method of automotive electronic accelerator pedal based on support vector regression

Driving behavior oriented torque demand regulation for electric vehicles with single pedal driving

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