scispace - formally typeset
Search or ask a question
Topic

Vehicle dynamics

About: Vehicle dynamics is a research topic. Over the lifetime, 12909 publications have been published within this topic receiving 204091 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a control allocation algorithm for the determination of the wheel torque distribution was proposed for a four-wheel-driven fully electric vehicle with individually controlled motors, and the results in terms of wheel torque and tire slip distributions among the four wheels, and of input power to the electric drivetrains were presented and discussed in detail.
Abstract: Vehicle handling in steady-state and transient conditions can be significantly enhanced with the continuous modulation of the driving and braking torques of each wheel via dedicated torque-vectoring controllers. For fully electric vehicles with multiple electric motor drives, the enhancements can be achieved through a control allocation algorithm for the determination of the wheel torque distribution. This article analyzes alternative cost functions developed for the allocation of the wheel torques for a four-wheel-driven fully electric vehicle with individually controlled motors. Results in terms of wheel torque and tire slip distributions among the four wheels, and of input power to the electric drivetrains as functions of lateral acceleration are presented and discussed in detail. The cost functions based on minimizing tire slip allow better control performance than the functions based on energy efficiency for the case-study vehicle.

56 citations

Journal ArticleDOI
TL;DR: In this paper, an adaptive nonlinear model predictive control (NMPC) for vehicle tracking control is proposed, which learns in real time a tyre force model to adapt to a varying road surface.
Abstract: We propose an adaptive nonlinear model predictive control (NMPC) for vehicle tracking control. The controller learns in real time a tyre force model to adapt to a varying road surface that is only ...

56 citations

Journal ArticleDOI
TL;DR: A new adaptive approach, "model-reaching" adaptive control, is studied to achieve the ideal multi-degree-of-freedom (DOF) isolation effect of a skyhook target without using a reference model.
Abstract: Adaptive control has drawn attention for active vibration isolation and vehicle suspensions because of its potential to perform in the presence of nonlinearities and unknown or time-varying parameters. Model-reference adaptive control has been used to force the plant to track the states or certain outputs of the ideal reference model. In this brief, we study a new adaptive approach, "model-reaching" adaptive control, to achieve the ideal multi-degree-of-freedom (DOF) isolation effect of a skyhook target without using a reference model. We define a dynamic manifold for the target dynamics in terms of the states of the plant, rather than the error of the plant tracking of the reference. Then we describe an adaptive control law based on Lyapunov analysis to make the isolation system reach the dynamic manifold while estimating the unknown parameters. The proposed method directly employs measurement of the payload velocity and its displacement relative to ground, and the effects of imperfect velocity measurements using a geophone are quantified. We carry out a detailed experimental investigation based on a realistic single degree-of-freedom (SDOF) plant with friction, demonstrate the effectiveness of the proposed adaptive control, and show that the target dynamics of the skyhook isolator are attained. A framework for achieving general targets is also suggested.

56 citations

Journal ArticleDOI
TL;DR: The Manchester Contact Benchmark as discussed by the authors is a benchmark to assess the impact of wheel-rail contact modelling assumptions on the simulation of railway vehicle dynamics, which is used to evaluate the effect of different contact models on simulation of vehicle behaviour.
Abstract: A new benchmark is being undertaken to assess the impact of wheel-rail contact modelling assumptions on the simulation of railway vehicle dynamics. The benchmark is split into two distinct simulation cases: the first, Case A, using a single wheelset to pinpoint the differences between the contact models and the second, Case B, using a simplified railway vehicle to assess the effect of the different contact models on the simulation of vehicle behaviour. After an open discussion of the Case A specification, the initial call for contributions was made in November 2006. The discussion of simulation Case B specifications was opened in April 2007 and to date is ongoing. This paper briefly introduces the new Manchester Contact Benchmark and presents some of the initial findings from simulation Case A.

56 citations

Journal ArticleDOI
08 Jul 2017-Energies
TL;DR: In this paper, an optimal control strategy for a four-wheel-independently-actuated electric vehicle (FWIA EV) is proposed to improve vehicle dynamics stability and handling performance.
Abstract: In this paper, an optimal control strategy for a four-wheel-independently-actuated electric vehicle (FWIA EV) is proposed to improve vehicle dynamics stability and handling performance. The proposed scheme has a hierarchical structure composed of an upper and a lower controller. The desired longitudinal and lateral forces and yaw moment are determined based on the sliding-mode control (SMC) scheme in the upper controller, which takes the longitudinal and lateral velocity and the yaw rate as control variables. In the lower controller, an optimization algorithm is adopted to allocate the driving/braking torques to each in-wheel motor. A cost function with adjustable weight coefficients is specially designed by taking the motor power capability and the tire workload into consideration. The simulation and hardware-in-loop experimental results show that the proposed control strategy exhibits superior performance in comparison to commonly-used rule-based control strategies, and has the capability of online implementation.

56 citations


Network Information
Related Topics (5)
Control theory
299.6K papers, 3.1M citations
89% related
Control system
129K papers, 1.5M citations
87% related
Optimal control
68K papers, 1.2M citations
84% related
Robustness (computer science)
94.7K papers, 1.6M citations
84% related
Linear system
59.5K papers, 1.4M citations
83% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023167
2022478
2021620
2020811
2019749
2018749