This article introduces an innovative semi-active suspension system for off-road vehicles, incorporating a quasi-zero stiffness to enhance driver comfort. The includes central pneumatic spring, double-acting linear actuators adjustable stiffness, and magnetorheological dampers controlled damping. Using Lyapunov stability theory, static output feedback control law is designed address uncertainties in road profiles, body parameters, actuator saturation, relying on measured variables as...

As one of the active safety technologies, stability control vehicles has recently received great attention. In order to improve handling distributed drive electric under various extreme conditions, a direct yaw moment (DYC) method based on novel fuzzy sliding mode (FSMC) is proposed. First, linear 2DOF reference vehicle model as ideal value reference, 7DOF used for sideslip angle estimation, an electric-driving wheel provide tire motion parameters CarSim platform are established. Then, FSMC...

This paper proposes a novel coordination control strategy through reinforcement learning approach for human-machine cooperative steering of intelligent vehicles, so as to realize more flexible and efficient way the human driver automated driving system jointly complete path-following. Firstly, is modeled by optimal preview model with adaptive time MPC lateral tracking prediction horizon step, well realistic dual-motor steering-by-wire structure also built into system. Then, designed trained...

In order to ensure the driving safety, comfort, stability and high mobility of emergency rescue vehicle, considering actual characteristics vehicles like large vehicle width, center gravity turning radius, a trajectory velocity planning method for collision avoidance based on segmented three-dimensional quartic Bezier curve is proposed. The information regarded as vertical coordinates corresponding coordinates, used planning, so make correspond one by in results. addition, realize effective...

A sideslip angle fusion estimation strategy of the three-axis vehicle based on an adaptive cubature Kalman filter (ACKF) is investigated in this article. According to dynamics model, kinematics model vehicle, and considering influence tire nonlinearity, state estimators under different conditions are designed by using ACKF algorithm. The dynamic-model-based estimator with linear a nonlinear kinematical-model-based (KE) proposed, then, according application characteristics estimators, fuzzy...

With the rapid growth of automotive technology, electronically controlled air suspension has been widely used to improve ride comfort and handling stability vehicle by actively modulating stiffness, height, posture. Ride height control (RHC) is main function semi-active suspension, it achieved conducting charging discharging spring, which plays a critical role in improving dynamic performance. In addition, unevenness distribution with payloads at four wheels, different characteristics front...

The improvement of both the stability and economy four in-wheel motor drive (4IWMD) electric vehicle under complex cycles is currently a difficult problem in this field. A torque distribution method with comprehensive goals optimal energy efficiency, considering through efficiency for 4IWMD vehicle, proposed paper. Each component modelled. dynamic programming (DP) control algorithm utilized between front rear motors to obtain vehicle. simulation performed on co-simulation platform software...

Abstract To improve the vibration isolation performance of suspensions, various new structural forms suspensions have been proposed. However, there is uncertainty in these structure so deterministic research cannot reflect suspension under actual operating conditions. In this paper, a quasi-zero stiffness isolator used automotive to form suspension−quasi-zero air (QZSAS). Due strong nonlinearity and complexity changes parameters may cause dramatic performance, it practical importance study...

Abstract The main objective of this study is to demonstrate the effectiveness using Hybrid Particle Swarm Optimization (HPSO), a unique methodology, optimize an IEEE-33 bus system for optimal placement electric vehicles. This methodology has been specifically designed effectively regulate voltage fluctuations while reducing power dissipation. exploration capabilities PSO and exploitation SA make HPSO robust algorithm specific function. shown superior performance compared current traditional...

The proposed hybrid equipment for friction stir welding (FSW) focuses on balancing heavy load capacity and compact size. kinematics static compliance of the chosen mechanism are modeled analyzed. Comprehensive objectives, including kinematic performance, compliance, overall machine quality, considered. On this basis, a scale optimization domain compliance-constrained established. A multi-layer grid strategy is then implemented, progressing from subsystem level to entire refine design....

A fault-tolerant collaborative control strategy for four-wheel-drive electric vehicles is proposed to address hidden safety issues caused by one or more in-wheel motor faults; the basic design scheme that system divided into two layers of motion tracking and torque distribution, three systems, including driving, braking, front-wheel steering are controlled collaboratively four-wheel distribution. In layer tracking, a vehicle model with two-degree-of-freedom employed predict reference values...

Deep Reinforcement Learning (DRL) holds significant promise for achieving human-like Autonomous Vehicle (AV) capabilities, but suffers from low sample efficiency and challenges in reward design. Model-Based (MBRL) offers improved generalizability compared to Model-Free (MFRL) various multi-agent decision-making scenarios. Nevertheless, MBRL faces critical difficulties estimating uncertainty during the model learning phase, thereby limiting its scalability applicability real-world...