Optimal Wheel Torque Distribution for a Four-Wheel-Drive Fully Electric Vehicle

2013 ◽  
Vol 6 (1) ◽  
pp. 128-136 ◽  
Author(s):  
Leonardo De Novellis ◽  
Aldo Sorniotti ◽  
Patrick Gruber
Keyword(s):  
Electric Vehicle ◽  
Torque Distribution ◽  
Wheel Drive ◽  
Wheel Torque ◽  
Four Wheel Drive

scholarly journals Reducing the motor power losses of a four-wheel drive, fully electric vehicle via wheel torque allocation

2014 ◽  
Vol 228 (7) ◽  
pp. 830-839 ◽  
Author(s):  
Andrew Pennycott ◽  
Leonardo De Novellis ◽  
Alessio Sabbatini ◽  
Patrick Gruber ◽  
Aldo Sorniotti
Keyword(s):  
Electric Vehicle ◽  
Motor Power ◽  
Power Losses ◽  
Wheel Drive ◽  
Wheel Torque ◽  
Four Wheel Drive

scholarly journals Lateral Stability Control of Four-Wheel-Drive Electric Vehicle Based on Coordinated Control of Torque Distribution and ESP Differential Braking

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 135
Author(s):  
Liqing Chen ◽  
Zhiqiang Li ◽  
Juanjuan Yang ◽  
Yu Song
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Coordinated Control ◽  
Control Model ◽  
Lateral Stability ◽  
Torque Distribution ◽  
Wheel Drive ◽  
Four Wheel Drive

This research focuses on four-wheel-drive electric vehicles. On the basis of the hierarchical coordinated control strategy, the coordinated control system of driving force distribution regulation and differential braking regulation was designed to increase the electric vehicles steering stability under special road working conditions. A seven-degree-of-freedom model of an electric vehicle was established in MATLAB/Simulink, and then a hierarchical coordination control model of the Electronic stability program and dynamic torque distribution control system was established. Adaptive fuzzy control was applied to ESP and, based on the neural network PID control, a torque distribution control system was designed. On the basis of the proposed coordinated control model, a performance simulation and a hardware-in-the-loop test of the control system under the typical working condition of single line shift were carried out. From the final results, it can be seen that the proposed control strategy can greatly improve the safety of the vehicle after serious side slip, increase the stability of the whole vehicle, and effectively increase the vehicle lateral stability.

Predictive Battery SoC Control for Dual Propulsion Differential Four Wheel Drive Electric Vehicle

2021 ◽  
Author(s):  
Utkal Ranjan Muduli ◽  
Khaled Al Jaafari ◽  
Ranjan Kumar Behera ◽  
Abdul R. Beig ◽  
Khalifa Al Hosani ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Wheel Drive ◽  
Four Wheel Drive ◽  
Soc Control

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.

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