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

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.

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Mode Transition Control for Four Wheel Drive Hybrid Electric Car

Journal of Mechanical Engineering ◽

10.3901/jme.2011.04.100 ◽

2011 ◽

Vol 47 (04) ◽

pp. 100 ◽

Cited By ~ 13

Author(s):

Zhiguo ZHAO

Keyword(s):

Mode Transition ◽

Transition Control ◽

Electric Car ◽

Wheel Drive ◽

Mode Transition Control ◽

Hybrid Electric ◽

Four Wheel Drive

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Model-Based Mode Transition Control Between SI and HCCI Combustion

Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy ◽

10.1115/dscc2014-6148 ◽

2014 ◽

Cited By ~ 1

Author(s):

Shupeng Zhang ◽

Guoming G. Zhu

Keyword(s):

External Disturbance ◽

Thermal Conditions ◽

Spark Ignition Engine ◽

Intake Manifold ◽

Mode Transition ◽

Electronic Throttle ◽

Engine Torque ◽

Transition Control ◽

Hcci Combustion ◽

Mode Transition Control

While the homogeneous charge compression ignition (HCCI) combustion has its advantages of high thermal efficiency with low emissions, its operational range is limited in both engine speed and load. To utilize the advantage of the HCCI combustion an HCCI capable SI (spark ignition) engine needs to be developed. One of the key challenges of developing such an engine is how to achieve smooth mode transition between SI and HCCI combustion, where the in-cylinder thermal conditions are quite different due to the distinct combustion characteristics. In this paper, an SI-HCCI mode transition control strategy was developed for an HCCI capable SI engine equipped with electrical variable valve timing (EVVT) systems with two step-lift valves and electronic throttle control (ETC) system, and the developed strategy was validated in hardware-in-the-loop (HIL) simulations. During the mode transition, a MAP (manifold air pressure) controller was used to track the desired intake manifold pressure for charge air management, and a fuel management controller is used to provide the desired engine torque. HIL simulation results show that the developed controller is able to achieve smooth combustion mode transition under unmodeled dynamics and external disturbance.

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

Volume 4: 8th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A and B ◽

10.1115/detc2011-48313 ◽

2011 ◽

Cited By ~ 2

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.

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