Research on Drive Mode for an Independent Eight In-Wheel Motor Drive Vehicle

2014 ◽  
Vol 472 ◽  
pp. 327-332
Author(s):  
Wen Jiao Liang ◽  
Jun Qiu Li
Keyword(s):  
Economic Performance ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Motor Drive ◽  
Drive Mode ◽  
The Road ◽  
Wheel Drive ◽  
Driving Condition ◽  
Integrated Performance ◽  
Four Wheel Drive

This paper describes a control strategy of drive modes switch for an independent eight in-wheel motor drive vehicle. There are three drive modes, and they are eight-wheel drive with ASR mode, eight-wheel drive mode and four-wheel drive mode. The control strategy is designed to improve the integrated performance of the vehicle, such as safety, dynamic performance and economic performance, but the previous research can only improve one of them. When the road adhesion coefficient is very small, the vehicle will drive in eight-wheel drive with ASR mode to ensure the vehicles safety, when the driver torque demand is very big, the vehicle will drive in eight-wheel mode to get better dynamic performance and when the driver torque demand is very small, the vehicle drive in four-wheel mode to get better economic performance. The vehicle switches among the three modes according to the driving condition. Simulations of the new control strategy were carried out on two different driving conditions. The results showed that an improvement in safety or economic performance was achieved with the control strategy.

Control strategy of four-wheel independent drive electric vehicle based on vehicle velocity estimation and switchover

2016 ◽  
Vol 39 (7) ◽  
pp. 965-975 ◽  
Author(s):  
Xiaoshuai Xin ◽  
Wenjian Zhang ◽  
Chao Shen ◽  
Hong Zheng
Keyword(s):  
Adverse Effect ◽  
Control Strategy ◽  
Estimation Algorithm ◽  
Velocity Estimation ◽  
Vehicle Stability ◽  
Drive Mode ◽  
Estimation Algorithms ◽  
Wheel Drive ◽  
Vehicle Velocity ◽  
Four Wheel Drive

The four-wheel independent drive electric vehicle (4WID EV) has some advantages, such as independent control of torque, easy measurement of torque, and multiple drive modes, the most significant of which are four-wheel drive and two-wheel drive modes. However, there is a problem with the switched drive mode, which would have an adverse effect on the precision of vehicle velocity estimation, the vehicle stability and comfort. In order to solve the problem, a control strategy with a switched drive mode is proposed. The control strategy is based on two vehicle velocity estimation algorithms. Between the two vehicle velocity estimation algorithms, the vehicle velocity estimation algorithm based on an unscented Kalman filter is designed in a four-wheel drive mode condition, whereas the vehicle velocity estimation algorithm based on the wheel rotational speed is designed in a two-wheel drive mode condition. Switchover of the two vehicle velocity estimation algorithms would cause a vehicle velocity saltus step, which has an adverse effect on vehicle control, so a vehicle velocity smoothing algorithm is proposed. Simulation results show that the control strategy not only reaches a high vehicle velocity control accuracy, it also improves the vehicle stability as well as the comfort. Furthermore, the results show that the proposed strategy can achieve stabilization with disturbance.

Research on Control Strategy of Traction Control for Four Wheel Drive Vehicle

2011 ◽  
Vol 230-232 ◽  
pp. 1242-1249
Author(s):  
Jian Jun Hu ◽  
Zheng Bin He ◽  
Peng Ge ◽  
Da Tong Qin
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Structural Characteristics ◽  
Dynamic Performance ◽  
Synthetic Control ◽  
Traction Control ◽  
Torque Distribution ◽  
Traction Control System ◽  
Wheel Drive ◽  
Four Wheel Drive

In order to improve the performance of four wheel driver vehicle, structural characteristics of inter-axle torque distribution with planetary gear are analyzed, and a dynamic model of four wheel drive vehicle is established. A synthetic control strategy was proposed to achieve the engine throttle control, inter-axle torque distribution control and drive wheel brake control. Traction control system based on fuzzy logic control is designed. The simulation of traction control on split-µ road and low-µ road are carried out. The results show that, the traction control system for four wheel drive vehicle based on fuzzy control can prevent excessive slip of driving wheels, and vehicle traction property and dynamic performance are improved obviously.

scholarly journals Simulation of Differentials in Four-Wheel Drive Vehicles Using Multibody Dynamics

2011 ◽  
Author(s):  
Geoffrey Virlez ◽  
Olivier Bru¨ls ◽  
Pierre Duysinx ◽  
Nicolas Poulet
Keyword(s):  
Test Bench ◽  
Good Accuracy ◽  
Dynamic Performance ◽  
Nonlinear Finite Element Method ◽  
Vehicle Model ◽  
Contact Conditions ◽  
Flexible Bodies ◽  
Wheel Drive ◽  
Complex Phenomena ◽  
Four Wheel Drive

The dynamic performance of vehicle drivetrains is significantly influenced by differentials which are subjected to complex phenomena. In this paper, detailed models of TORSEN differentials are presented using a flexible multibody simulation approach, based on the nonlinear finite element method. A central and a front TORSEN differential have been studied and the numerical results have been compared with experimental data obtained on test bench. The models are composed of several rigid and flexible bodies mainly constrainted by flexible gear pair joints and contact conditions. The three differentials of a four wheel drive vehicle have been assembled in a full drivetrain in a simplified vehicle model with modeling of driveshafts and tires. These simulations enable to observe the four working modes of the differentials with a good accuracy.

Robust mode transition control of four-wheel-drive hybrid electric vehicles based on radial basis function neural network estimation-a simulation study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ling Li ◽  
Fazhan Tao ◽  
Zhumu Fu
Keyword(s):  
Dynamic Performance ◽  
Transition Process ◽  
Mode Transition ◽  
Robust Controller ◽  
Content Type ◽  
Engine Torque ◽  
Transition Control ◽  
Wheel Drive ◽  
Mode Transition Control ◽  
Four Wheel Drive

Purpose The flexible mode transitions, multiple power sources and system uncertainty lead to challenges for mode transition control of four-wheel-drive hybrid powertrain. Therefore, the purpose of this paper is to improve dynamic performance and fuel economy in mode transition process for four-wheel-drive hybrid electric vehicles (HEVs), overcoming the influence of system uncertainty. Design/methodology/approach First, operation modes and transitions are analyzed and then dynamic models during mode transition process are established. Second, a robust mode transition controller based on radial basis function neural network (RBFNN) is proposed. RBFNN is designed as an uncertainty estimator to approximate lumped model uncertainty due to modeling error. Based on this estimator, a sliding mode controller (SMC) is proposed in clutch slipping phase to achieve clutch speed synchronization, despite disturbance of engine torque error, engine resistant torque and clutch torque. Finally, simulations are carried out on MATLAB/Cruise co-platform. Findings Compared with routine control and SMC, the proposed robust controller can achieve better performance in clutch slipping time, engine torque error, vehicle jerk and slipping work either in nominal system or perturbed system. Originality/value The mode transition control of four-wheel-drive HEVs is investigated, and a robust controller based on RBFNN estimation is proposed. Compared results show that the proposed controller can improve dynamic performance and fuel economy effectively in spite of the existence of uncertainty.

scholarly journals Improved DTC strategy of an electric vehicle with four in-wheels induction motor drive 4WDEV using fuzzy logic control

2021 ◽  
Vol 12 (2) ◽  
pp. 650
Author(s):  
Nair Nouria ◽  
Gasbaoui Brahim Ghazouni Abdelkader ◽  
Benoudjafer Cherif
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Induction Motors ◽  
Control Strategies ◽  
Direct Torque Control ◽  
Torque Control ◽  
The Road ◽  
Time Simulation ◽  
Wheel Drive ◽  
Four Wheel Drive

In this paper, we will study a four-wheel drive electric vehicle (4WDEV)with two control strategies: conventional direct torque control CDTC and DTC based on fuzzy logic (DTFC). Our overall idea in this work is to show that the 4WDEV equipped with four induction motors providing the drive of the driving wheels controlled by the direct fuzzy torque control ensures good stability of the 4WDEV in the different topologies of the road, bends and slopes. and increases the range of the electric vehicle. Numerical simulations were performed on an electric vehicle powered by four 15 kW induction motors integrated into the wheels using the MATLAB / Simulink environment, where the reference speeds of each wheel (front and rear) are obtained using an electronic speed differential (ESD). This can eventually cause it to synchronize the wheel speeds in any curve. The speed of each wheel is controlled by two types of PI and FLC controllers to improve stability and speed response (in terms of setpoint tracking, disturbance rejection and climb time). Simulation results show that the proposed FLC control strategy reduces torque, flux and stator current ripple. While the4WDEV range was improved throughout the driving cycle and battery power consumption was reduced.

Sign in / Sign up

Export Citation Format

Share Document