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Brake judder affects vehicle safety and comfort, making it a key area of research in brake NVH. Transfer path analysis is effective for analyzing and reducing brake judder. However, current studies mainly focus on passenger cars, with limited investigation into commercial vehicles. The complex chassis structures of commercial vehicles involve multiple transfer paths, resulting in extensive data and testing challenges. This hinders the analysis and suppression of brake judder using transfer path analysis. In this study, we propose a simulation-based method to investigate brake judder transfer paths in commercial vehicles. Firstly, road tests were conducted to investigate the brake judder of commercial vehicles. Time-domain analysis, order characteristics analysis, and transfer function analysis between components were performed.
The installation of the Electronic Braking System (EBS) could effectively improve braking response speed, shorten braking distance, and ensure driving safety of commercial vehicles. However, during longitudinal deceleration control process, the commercial vehicles face not only challenges such as large inertia mass and random road slope resistance of the vehicle layer, but also non-linear characteristics of the EBS actuator layer. In order to solve these problems, this paper proposes a commercial vehicle’s longitudinal deceleration precise control considering vehicle-actuator dynamic characteristics. First, longitudinal dynamics of commercial vehicle is analyzed, and so is the EBS’ non-linear response hysteresis characteristics. Then, we design the dual layer deceleration control strategy. In vehicle layer, the recursive least squares with forgetting factor and Kalman filtering are comprehensively applied to dynamically estimate the vehicle mass and driving road slope.
Lane changing is an essential action in commercial vehicles to prevent collisions. However, steering system malfunctions significantly escalate the risk of head-on collisions. With the advancement of intelligent chassis control technologies, some autonomous commercial vehicles are now equipped with a four-wheel independent braking system. This article develops a lane-changing control strategy during steering failures using torque vectoring through brake allocation. The boundaries of lane-changing capabilities under different speeds via brake allocation are also investigated, offering valuable insights for driving safety during emergency evasions when the steering system fails. Firstly, a dual-track vehicle dynamics model is established, considering the non-linearity of the tires. A quintic polynomial approach is employed for lane-changing trajectory planning. Secondly, a hierarchical controller is designed.
An experiment is carried out to measure creep groan of a drum brake located in a trailer axle of a truck. The noise nearby the drum brake and accelerations on brake shoes, axle and trailer frame are collected to analyze the occurring conditions and characteristics of the creep groan. A model with 1/4 trailer chassis structures is established using ADAMS for analyzing brake component vibrations that generates the creep groan. In the model, the contact force between involute cam and rollers of brake shoes, the contact friction and damping characteristics between brake linings and inner circular surface of brake drum, and the properties of chassis structure are included. Dynamic responses of brake shoes, axle and trailer frame during the braking process are estimated using the established model and the responses are compared with the measured results, which validate the model.
After the COVID-19 pandemic, leisure activities and cultures have undergone significant transformations. Particularly, there has been an increased demand for outdoor camping. Consequently, the need for capabilities that allow vehicles to navigate not only paved roads but also unpaved and rugged terrains has arisen. In this study, we aim to address this demand by utilizing AI to introduce a 'Stuck Probability Estimation Algorithm' for vehicles on off-road. To estimate the 'Stuck Probability' of a vehicle, a mathematical model representing vehicle behavior is essential. The behavior of off-road driving vehicles can be characterized in two main aspects: firstly, the harshness of the terrain (how uneven and rugged it is), and secondly, the extent of wheel slip affecting the vehicle's traction.
Commercial combination vehicles, configured as a truck-tractor and semitrailer, are designed to transport a wide variety of heavy loads over great distances. Because of their size, mass and proportions, combination vehicles have less lateral roll stability than other types of vehicles on the road. As a result, it is easier for drivers to maneuver their commercial combination vehicle beyond its rollover threshold, compared to drivers of light vehicles. Few publications in the public domain explore the unique dynamics of combination vehicle rollovers. Even fewer publications correlate available reconstruction methods with available experimental data. To better understand commercial combination vehicle rollovers, IMMI conducted two quarter-turn rollover crash tests involving a remotely controlled truck-tractor and a loaded van semitrailer.
In light of the current trend towards the electrification of commercial vehicles, the imperative for the development of a Beam eAxle solution has become apparent. The utilization of an electric drive unit in heavy-duty solid axle-based commercial vehicles presents unique and demanding challenges, including the necessity for elevated peak and continuous torque, while meeting spatial constraints, structural integrity requirements, additional functionalities, and extended service life. BorgWarner has developed a solution that addresses these challenges, meeting the rigorous demands of commercial vehicle electrification. This paper offers a comprehensive overview of the design and prototyping processes undertaken to develop the Beam eAxle, including an analysis of market demands, a comparative examination of eAxle solutions, and the methodologies and procedures employed in the design, prototyping, and evaluation phases of the Beam eAxle development.
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The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.
Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.