A Drive System Global Control Strategy for Electric Vehicle Based on Optimized Acceleration Curve

2021 ◽  
Author(s):  
Qin Liu ◽  
Wencan Zhang ◽  
Zhongbo Zhang ◽  
Qichao Qin
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Drive System ◽  
Global Control

The Control Strategy and Experimental Analysis of Electronic Differential Steering for Four Independent Drive Hub Motor Electric Vehicle

2014 ◽  
Vol 1030-1032 ◽  
pp. 1550-1553 ◽  
Author(s):  
Hao Pan ◽  
Run Sheng Song
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Future Development ◽  
Control Strategy ◽  
Experimental Analysis ◽  
Drive System ◽  
Experimental Results ◽  
Steering Control ◽  
Differential Steering ◽  
Differential Control

Wheel hub motor used in drive system of pure electric vehicle has become hot research and future development. Based on a four-wheel independent drive(4WID) electric vehicles with wheel hub motors, the paper has made the research on electronic differential steering control strategy by using Ackermann steering model conditions, and the experimental results have also been analyzed for the actual steering control effects under differential control strategy.

scholarly journals Research on Control Strategy of Hydraulic Regenerative Braking of Electrohydraulic Hybrid Electric Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-9 ◽  
Author(s):  
Qinghai Zhao ◽  
Hongxin Zhang ◽  
Yafei Xin
Keyword(s):  
Electric Vehicle ◽  
Electric Drive ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Operating Conditions ◽  
Drive System ◽  
Regenerative Braking ◽  
Electric Drive System ◽  
Hybrid Electric ◽  
The Impact

The vehicle will generate an amount of current while the electric vehicle just starting to regeneratively brake. In order to avoid the impact of high current on the traction battery, a novel electrohydraulic hybrid electric vehicle has been proposed. The main power source is supplied by the electric drive system, and the hydraulic system performs the auxiliary drive system that fully exerts the advantages of the electric drive system and the hydraulic drive system. A proper regenerative braking control strategy is presented, and the control parameters are determined by the fuzzy optimization algorithm. The simulation analysis built the model through the united simulation of AMESim and MATLAB/Simulink. The results illustrated that the optimized control strategy can reduce battery consumption by 1.22% under NEDC-operating conditions.

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