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Autonomous vehicles can risk dangerous rollover if they corner without taking roll motion into consideration. This paper proposes a control algorithm to follow a curved road while simultaneously preventing rollover. Model predictive control is applied to minimize roll motion throughout cornering. The prediction of vehicle state is based on a four-wheel nonlinear vehicle model with roll dynamics and...
Effects of different design parameters on the performance of a hybrid city bus were studied. A system simulation model of the hybrid city bus was developed and used for studying the effects of drive motor torque and vehicle mass on vehicle performance, fuel consumption and stability during regenerative braking. Increasing the maximum torque by 60 % from the nominal value was found to improve the fuel...
The driving range of electric vehicles can be extended using regenerative braking. Regenerative braking uses the electric drive system, and therefore only the driven wheels, for decelerating the vehicle. Braking on one axle affects the stability of the vehicle, especially for road conditions with reduced friction. This paper discusses three control strategies for preventing loss of stability while...
A new type of variable topology parallel mechanism was presented, which is used in tire building drum mechanism. The solid models of the mechanism was established, and the dynamic model of the mechanism was established by using Newton - Euler method, then the model of variable topology parallel mechanism was imported into the ADAMS, the dynamic simulation of the mechanism was analyzed in ADAMS, which...
In this paper, a six degree of freedom half body vehicle suspension system is developed. The neural network algorithm is used to control the suspension system. With the aid of software Matlab/Simulink, the simulation model is achieved. With changing of neural network coefficients, such as changing of training epoch and changing of the network structure, a lot of simulation work is done. Simulation...
The research of automotive chassis gap detection is a crucial field for automobile controlling stability and safety. For achieving the effective and precise detection model of the chassis gap detection system, the models corresponding to balance and deforming status with lateral force coursed by bedplate under the wheel are indicated. In the simulation results, the dynamic radial reaction of the wheel...
Based on the six-freedom-degree model of four-wheel-drive electric vehicles, the fail-safe problem of (Electric Power Steering system) EPS is analyzed, and an EPS fail-safe strategy based on state observer is proposed in this paper. When EPS failed, by detecting the cornering angle of the steer wheel or the torsion of the steer wheel, the yaw rate command can be estimated. The vehicle's body is forced...
In order to research the anti-slip regulation (ASR) of electric vehicle(EV), this paper analyzes the operating principle and control strategy of electric vehicle's ASR, builds the motion model of the EV and vehicle dynamics model including the tyre, the wheel and the model between the tyre and the road. The traditional ASR structure is complex. In order to solve the problem, a novel anti-slip controller...
This paper presents simulation of integrated controller of vehicle anti-lock braking system, which consists of the traditional continuous PID and finite state machine theory. Based on the integrated controller, slip ratio and deceleration are selected as the main control parameters to optimize ABS. Vehicle speed, wheel speed, braking distance, pressure state and slip ratio are investigate to reveal...
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