Electric all-wheel drive: enhancing vehicle dynamics and driving safety by wheel-individual torque distribution – How to make use of the over-actuation of electrified vehicles

The potentialities shown by controlled differentials are making the automotive industry to explore this field. While VDC systems can only guarantee a safe behaviour at limit, a controlled differential can also increase the handling performance. The system derives from a rear wheel drive architecture with a semi-active differential, to which has been added a controlled wet clutch that directly connects the front axle and the engine crankshaft. This device allows distributing the drive torque between the two axles, according to the constraints due to kinematics and thermal problems. It can be easily understood that in this device the torque distribution doesn’t depend only from the central clutch action, but also from the engaged gear. Because of that the central clutch controller has to consider the gear position too. The control algorithms development was carried on using a vehicle model which can precisely simulate the handling response, the powertrain dynamic and the actuation system behaviour. A right powertrain response required the development of a customize library in Simulink. The approach chosen to carry on this research was the one used in automotive industry nowadays: an intensive simulation campaign was executed to realize an initial controller design and tuning.

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Four-Wheel Drive System: Architecture, Basic Vehicle Dynamics and Traction*

International Journal of Current Engineering and Technology ◽

10.14741/ijcet/v.8.2.28 ◽

2018 ◽

Vol 8 (02) ◽

Author(s):

Bir Armaan Singh Gill ◽

Mayank Sehdev ◽

Hardeep Singh

Keyword(s):

Vehicle Dynamics ◽

Basic Structure ◽

Power Delivery ◽

Traction Control ◽

Traction Control System ◽

The People ◽

Wheel Drive ◽

Different Types ◽

The Common ◽

Four Wheel Drive

Technology has been developing at a very tremendous pace to improve the safety and comfort of the people and when it comes to luxury and comfort, automobiles section is one of the common topic of interest, the most trending among this section is the “Four Wheel Drive (4WD) system” which has become more advanced and sophisticated with time. It has become an essential and appealing part of automobiles in today's era. This system has made the vehicles more secure, both off-road and on-road, enhanced traction of the wheels and power delivery of the engine. With the manipulation in the fundamental structure of a 4WD, various other 4WD options have become available, suiting different types of lifestyle and environment. This paper attempts to explain the different types of 4WD system, their basic structure, basic vehicle dynamics affecting the traction control system and provide a conclusion on various philosophies that the 4WD system adhere.

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Adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for four-wheel drive hybrid electric vehicles

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407018816564 ◽

2018 ◽

Vol 233 (12) ◽

pp. 3125-3146 ◽

Cited By ~ 2

Author(s):

Hui Liu ◽

Xunming Li ◽

Weida Wang ◽

Lijin Han ◽

Huibin Xin ◽

...

Keyword(s):

Power Management ◽

Management Strategy ◽

Dynamic Control ◽

Control Allocation ◽

Energy Management Strategy ◽

Torque Distribution ◽

Power Management Strategy ◽

Optimal Power ◽

Wheel Drive ◽

Four Wheel Drive

An adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for a four-wheel drive plug-in hybrid electric vehicle is proposed in this paper. The equivalent factors of adaptive equivalent consumption minimisation strategy are optimised offline based on ISIGHT software over several typical driving cycles, which is integrated with AVL CRUISE and MATLAB/Simulink. To update the equivalent factor adaptively according to the predictive velocity, a neural network-based optimal equivalent factor prediction model is built, which can be used online. The torque distribution strategy considering axle load based on energy management strategy optimisation results and the vehicle dynamics control distribution is proposed: this includes two-wheel drive torque distribution, four-wheel drive torque distribution and brake torque distribution. The proposed energy management strategy is verified in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle driving patterns, and the simulation results show that the fuel economy of adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy is improved by 8.84% and 7.52% in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle, respectively, compared with the benchmark algorithm-based strategy.

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