Modelling the longitudinal braking dynamics for heavy-duty vehicles

Abstract

This paper establishes a reliable heavy-duty braking system model that can be used for response time prediction and for vehicle braking calculations regarding the legislative requirements. For the response time prediction, a pneumatic system model of a heavy-duty vehicle is constructed by Matlab Simulink in consideration of service brake layout. To ensure the accuracy of system parameters related with pneumatic system response time experiments are conducted on two different 4 × 4 heavy-duty vehicles. The numerically calculated response time results are validated with experimental data. To improve the response time of the vehicle, design modifications are conducted on the pneumatic brake system properties. To check the compliance of the pneumatic brake system design with legislative requirements of UN Regulation 13, heavy-duty vehicle brake system (HVBS) model is developed by using Matlab Simulink. HVBS model is composed of longitudinal vehicle and wheel dynamics, Magic Formula tyre model, wheel slip and the experimentally verified heavy-duty pneumatic system model. The braking performance analyses are conducted by using HVBS model to compare the design alternatives in accordance with the legal requirements in terms of service braking and secondary braking conditions.

Longitudinal Modeling of a Road Vehicle: 4-Wheel Traction

“…Unlike the results presented in the articles [7,13,18,20,29,32,41,42,51], this paper presents a sequence of results during the analysis of the internal combustion engine performance, normal front and rear wheel forces with comparative changes of real vehicle parameters (in particular engine speed and vehicle mass), the longitudinal control modeling of the 4-wheeled vehicle presented excellent results represented by the physical output signals; vehicle speed, engine speed, and acceleration.…”

“…where (𝑉 𝑥 ) indicates the acceleration in relation to the axis (x), that is, the dynamics of the speed and (𝐹 𝑥 ) is the longitudinal force of the axis (x), which can be calculated [39][40][41] according to Equation 2.…”

Bifurcation analysis of a wheel‐slip control loop under low wheel‐slip regulation considering time‐delay

“…Such a detailed analysis is introduced in [14], where linear stability maps and time-delay-induced global bifurcation characteristics and maps are calculated to determine the globally stable controller parameter region of a path-following control system. Dynamical characteristics of pneumatic actuators are introduced and analysed in [15] and [16]. Results of simulations and measurements show that in pneumatic brake systems, the length of time delay can be up to around 0.1 s, which shall not be neglected.…”

“…Dynamical characteristics of pneumatic actuators are introduced and analysed in [15] and [16]. Results of simulations and measurements show that in pneumatic brake systems, the length of time delay can be up to around $$0.1\text{ s}$$, which shall not be neglected.…”

Research on characteristic parameter selection and attention-GRU-based model for braking intention identification

“…6 As a safety-critical system, the braking system and its control are the key to meeting the driver's expectations for velocity tracking and ensuring vehicle driving safety. 7,8 Moreover, regenerative braking, as the core technology of electric vehicles, recycles the braking energy based on braking intention, which makes a significant contribution to maximizing the energy utilization efficiency and the driving range of vehicles. 9,10 Therefore, the research on braking intention identification is of great importance to the development of vehicle electrification and intelligence.…”