A study on the brake-by-wire system using hardware-in-the-loop simulation

Park, Kihong; Heo, Seung-Jin

doi:10.1504/ijvd.2004.005319

Cited by 23 publications

(13 citation statements)

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“…Because of memory limitations, recording of all data samples in a hysteresis cycle is not feasible. Assume that only L samples of {(x(i), f c (i))} pairs out of the data samples in each hysteresis cycle can be recorded in determining the parameters of the model [see (5)]. An iterative method is needed for optimal selection and recording of the data samples as they are consecutively received by the central controller via the communication network.…”

Section: Characteristic-curve Calibration: Algorithmmentioning

confidence: 99%

“…4, a full cycle may include hysteretic variations around a small part of the whole characteristic curve of the caliper. Therefore, the use of least squares for fitting the model (5) to the data recorded from a single cycle will only locally enhance the characteristic curve. To resolve this issue, considering memory limitations, we select N + 1 points (N is assumed to be predetermined based on the available memory space) with their x coordinates evenly distributed over the whole range of variations of displacements [X min , X max ], and call them principal fitting points or PF points for short.…”

Section: Characteristic-curve Calibration: Algorithmmentioning

confidence: 99%

“…On the other hand, drive-by-wire components should be costwise competitive with conventional technologies. Therefore, there is always limited scope for hardware redundancy, which means that the drive-bywire systems have to be inherently safe and reliable [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…A brake-by-wire (BBW) system design generally comprises electromechanical brake calipers (e-caliper) with embedded brake-torque controllers at each vehicle corner, wheel-speed and vehicle-motion sensors, a central controller unit, and a human-machine interface, such as an instrumented brake pedal, all communicating via a fault-tolerant communications network [5]- [9].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Clamp Force Measurement in Electromechanical Brake Calipers

Hoseinnezhad

Bab–Hadiashar

Rocco³

2008

IEEE Trans. Veh. Technol.

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In brake-by-wire systems, central controllers require accurate information about the clamp force between the brake pad and the disc as a function of pad displacement, which is usually denoted as the characteristic curve of the caliper. Due to aging, temperature, and other environmental variations, caliper characteristic curves vary with time. Therefore, automatic caliper calibration in real-time is vital for high-performance braking action and vehicle safety. Due to memory and processing-power limitations, the calibration technique should be memory efficient and of low computational complexity. In a typical electromechanicalbraking-system design, clamp force measurement variations with actuator displacement is hysteretic. This paper introduces a simple and memory-efficient real-time calibration technique in which a clamp-force model is fitted to the data samples around each hysteresis cycle. The model includes a Maxwell-slip model for the hysteresis caused by friction. Experimental results from the data recorded in various temperatures show that the proposed technique results in clamp force measurements with less than 0.7% error over the range of clamp-force variations. It is also shown that, by using these measurements, the characteristic curve can be accurately calibrated in real-time.

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Section: Characteristic-curve Calibration: Algorithmmentioning

confidence: 99%

Section: Characteristic-curve Calibration: Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Clamp Force Measurement in Electromechanical Brake Calipers

Hoseinnezhad

Bab–Hadiashar

Rocco³

2008

IEEE Trans. Veh. Technol.

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“…In addition, a control logic for the electrohydraulic brake (EHB) (8) and a rear motor for vehicle stability were proposed to be applied to the EV system of a tricycle. Here, to compensate for the error between the yaw rate and the sideslip angle, a fuzzy control algorithm was adopted to generate the direct yaw moment.…”

Section: Introductionmentioning

confidence: 99%

Design of an Intelligent Vehicle Control Based on the Center of Gravity of Pilot

2016

Sensors and Materials

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Steering wheels and joysticks are presently the most familiar tools for vehicular operations. However, it may become difficult for them to meet special demands, such as those associated with driving in a narrow-and-small capsule, or rapid-responding steering used in entertainment, or by the military. In this study, based on the signals of center of gravity (COG) from the driver's seat, a novel vehicular control method is proposed and developed. In this research, a tricycle system with two front wheels and one rear wheel (2F/1R) was designed and set up to simulate the conventional steering mechanism in ships or airplanes. The system primarily consists of a wheel motor, a dc motor and a pilot's seat. They are designed to be a main mover, a steering , and a controller, respectively. In addition, the angles of the slope of the pilot's seat as detected by tilts are used as the displacement signals. The results show that the mean absolute percentage error between the simulation and the experimental studies is smaller than 1.05%. The effectiveness of this proposed design is confirmed.

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Advanced Vehicle Longitudinal Motion Control

Advanced Motion Control and Sensing for Intelligent Vehicles

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A study on the brake-by-wire system using hardware-in-the-loop simulation

Cited by 23 publications

References 0 publications

Real-Time Clamp Force Measurement in Electromechanical Brake Calipers

Real-Time Clamp Force Measurement in Electromechanical Brake Calipers

Design of an Intelligent Vehicle Control Based on the Center of Gravity of Pilot

Advanced Vehicle Longitudinal Motion Control

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