Independent Control of All-Wheel-Drive Torque Distribution

2004 ◽  
Author(s):  
Russell P. Osborn ◽  
Taehyun Shim
Keyword(s):  
Independent Control ◽  
Torque Distribution ◽  
Drive Torque ◽  
Wheel Drive

Independent control of all-wheel-drive torque distribution

2006 ◽  
Vol 44 (7) ◽  
pp. 529-546 ◽  
Author(s):  
Russell P. Osborn ◽  
Taehyun Shim
Keyword(s):  
Independent Control ◽  
Torque Distribution ◽  
Drive Torque ◽  
Wheel Drive

scholarly journals All-Wheel-Drive Torque Distribution Strategy for Electric Vehicle Optimal Efficiency Considering Tire Slip

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25245-25257
Author(s):  
Kaibin Cao ◽  
Minghui Hu ◽  
Dongyang Wang ◽  
Shuaipeng Qiao ◽  
Cong Guo ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Torque Distribution ◽  
Drive Torque ◽  
Distribution Strategy ◽  
Wheel Drive ◽  
Optimal Efficiency

scholarly journals Study on the Control of Torque Distribution of 4WD Corn Harvester Operation Drive

2021 ◽  
Vol 11 (19) ◽  
pp. 9152
Author(s):  
Deyi Zhou ◽  
Pengfei Hou ◽  
Yuelin Xin ◽  
Xinlei Lv ◽  
Baoguang Wu ◽  
...  
Keyword(s):  
Reference Value ◽  
Operating Conditions ◽  
Torque Control ◽  
Agricultural Machinery ◽  
Torque Distribution ◽  
Drive Torque ◽  
Adjustment Time ◽  
Wheel Drive ◽  
Four Wheel Drive ◽  
Passing Ability

In response to the poor adaptability of existing harvesters to complex operating conditions in the field, this study took a three-row four-wheel-drive (4WD) corn harvester as the research object, designed a traveling transmission system layout, proposed a control strategy of driving torque distribution, simulated, and analyzed each of the four states of harvester drive wheels slippage. The results showed that under the driving wheels slipping condition, after applying torque control, the adjustment time was 43.3% shorter than that without control in the case of single wheel slipping, 11.1% shorter than that without control in the case of two wheels slipping on the same axle, 41.4% shorter than that without control in the case of two wheels slipping on different axles, and 36.6% shorter than that without control in the case of three driving wheels slipping. The application of drive torque distribution control could significantly improve the traction and passing ability of the corn harvesters during operation, as well as made the harvester travel more smoothly, thus improving the harvest quality. The drive torque distribution control can be applied not only to the three-row corn harvester, but also to other types of harvesters, and self-propelled agricultural machinery to enhance their adaptability, improving their operation quality. It has a significant reference value for the development of the driving system on walking agricultural machinery.

Development of the Control Strategy for an Innovative 4WD Device

2006 ◽  
Author(s):  
Federico Cheli ◽  
Paolo Dellacha` ◽  
Andrea Zorzutti
Keyword(s):  
Automotive Industry ◽  
Controller Design ◽  
Rear Wheel ◽  
Front Axle ◽  
Torque Distribution ◽  
Actuation System ◽  
Wheel Drive ◽  
Wet Clutch ◽  
The One ◽  
Engine Crankshaft

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.

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

2018 ◽  
Vol 233 (12) ◽  
pp. 3125-3146 ◽  
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.

An optimal torque distribution control strategy for four-independent wheel drive electric vehicles

2015 ◽  
Vol 53 (8) ◽  
pp. 1172-1189 ◽  
Author(s):  
Bin Li ◽  
Avesta Goodarzi ◽  
Amir Khajepour ◽  
Shih-ken Chen ◽  
Baktiar Litkouhi
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Torque Distribution ◽  
Wheel Drive
Sign in / Sign up

Export Citation Format

Share Document