An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

He, Haibo; Peng, Jiankun; Xiong, Rui; Fan, Hua

doi:10.3390/en7063748

Cited by 56 publications

(36 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, the asymptotic stability property and robustness are discussed by employing the Lyapunov stability method. Sliding mode control techniques have been widely used in vehicle dynamics control systems such as anti-lock braking systems, yaw stability control systems, and traction control systems due to their strong robustness [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Since the vehicles operate under a wide range of speed and road conditions, the vehicle controllers should provide robustness against varying parameters and undesired disturbances over all the driving regions.…”

Section: Introductionmentioning

confidence: 99%

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

2015

View full text Add to dashboard Cite

Abstract:In this paper, a robust wheel slip control system based on a sliding mode controller is proposed for improving traction-ability and reducing energy consumption during sudden acceleration for a personal electric vehicle. Sliding mode control techniques have been employed widely in the development of a robust wheel slip controller of conventional internal combustion engine vehicles due to their application effectiveness in nonlinear systems and robustness against model uncertainties and disturbances. A practical slip control system which takes advantage of the features of electric motors is proposed and an algorithm for vehicle velocity estimation is also introduced. The vehicle velocity estimator was designed based on rotational wheel dynamics, measurable motor torque, and wheel velocity as well as rule-based logic. The simulations and experiments were carried out using both CarSim software and an experimental electric vehicle equipped with in-wheel-motors. Through field tests, traction performance and effectiveness in terms of energy saving were all verified. Comparative experiments with variations of control variables proved the effectiveness and practicality of the proposed control design. OPEN ACCESSEnergies 2015, 8 6821

show abstract

Section: Introductionmentioning

confidence: 99%

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

2015

View full text Add to dashboard Cite

show abstract

“…Meanwhile, there are also great demands for vehicle drivability [2] and driving safety [3]. With the rapid development of driving motor technologies, the all-wheel-independent-drive electric vehicle (AWID-EV), as an emerging configuration of EVs, has attracted increasing research efforts [4][5][6][7][8][9][10][11][12][13]. With driving motors, each wheel of the AWID-EV can individually generate not only driving torque but also braking torque, which greatly increases the flexibility and possibility of fully utilizing the adhesion of each tire and the efficiency of each motor.…”

Section: Introductionmentioning

confidence: 99%

Co-Design Based Lateral Motion Control of All-Wheel-Independent-Drive Electric Vehicles with Network Congestion

et al. 2017

View full text Add to dashboard Cite

All-wheel-independent-drive electric vehicles (AWID-EVs) have considerable advantages in terms of energy optimization, drivability and driving safety due to the remarkable actuation flexibility of electric motors. However, in their current implementations, various real-time data in the vehicle control system are exchanged via a controller area network (CAN), which causes network congestion and network-induced delays. These problems could lead to systemic instability and make the system integration difficult. The goal of this paper is to provide a design methodology that can cope with all these challenges for the lateral motion control of AWID-EVs. Firstly, a continuous-time model of an AWID-EV is derived. Then an expression for determining upper and lower bounds on the delays caused by CAN is presented and with which a discrete-time model of the closed-loop CAN system is derived. An expression on the bandwidth utilization is introduced as well. Thirdly, a co-design based scheme combining a period-dependent linear quadratic regulator (LQR) and a dynamic period scheduler is designed for the resulting model and the stability criterion is also derived. The results of simulations and hard-in-loop (HIL) experiments show that the proposed methodology can effectively guarantee the stability of the vehicle lateral motion control while obviously declining the network congestion.

show abstract

“…When = 1, the individual front wheel drive is indicated. When = 0.5 is expressed as the four-wheel torque average distribution mode, taking into account the same single rear wheel drive and front wheel drive effect alone, here can be further on the coefficient the following limits: if 0 = = 0.5 or = 0, it will be considered to be front or rear drive alone; if = 0.5, it will be considered to be the four rounds of the average distribution of torque [13].…”

Section: Torque Distribution Strategymentioning

confidence: 99%

Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods

Zheng

2017

Journal of Control Science and Engineering

View full text Add to dashboard Cite

This paper uses certain hub motor distributed electric vehicle driving system as the research object, using several control strategies, such as dynamic programming global optimization algorithm, fuzzy control, and torque equal distribution and realizing the distribution control of the distributed power of the electric drive system. The simulation results show that, under the NEDC road condition, using the dynamic programming algorithm to optimize the torque distribution, the energy consumption of the electric drive system is 8041 kJ, decreased by 4.77% compared to the average torque distribution control and decreased by 3.5% compared to the fuzzy control strategy. The power consumption of the electric vehicle is 20.25 kWh per 100 km, decreased by 1.01 kWh compared to the average torque distribution control strategy and decreased by 0.72 kWh compared to the fuzzy control strategy. Under the fixed working condition, the energy efficiency of power system can be improved effectively when the distributed dynamic system torque is optimized by the dynamic programming algorithm. Without considering the global optimization, the fuzzy control can effectively improve the energy efficiency of the power system compared to the torque average distribution strategy.

show abstract

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Cited by 56 publications

References 23 publications

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

Co-Design Based Lateral Motion Control of All-Wheel-Independent-Drive Electric Vehicles with Network Congestion

Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods

Contact Info

Product

Resources

About