scholarly journals Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6947
Author(s):  
Wen Sun ◽  
Juncai Rong ◽  
Junnian Wang ◽  
Wentong Zhang ◽  
Zidong Zhou
Keyword(s):  
Energy Consumption ◽  
Distribution Coefficient ◽  
Control Strategy ◽  
Longitudinal Force ◽  
Maximum Energy ◽  
Torque Control ◽  
Torque Distribution ◽  
Motor Efficiency ◽  
Optimization Control ◽  
Turning Resistance

This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process. A three-degree-of-freedom (3-DOF) vehicle dynamics model is used to analyze the total longitudinal force of the vehicle and explain the influence of torque vectoring distribution (TVD) on turning resistance. The Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm (GA-PSO) is used to optimize the torque distribution coefficient offline. Then, a torque optimization control strategy for obtaining minimum turning energy consumption online and a torque distribution coefficient (TDC) table in different cornering conditions are proposed, with the consideration of vehicle stability and possible maximum energy-saving contribution. Furthermore, given the operation points of the in-wheel motors, a more accurate TDC table is developed, which includes motor efficiency in the optimization process. Various simulation results showed that the proposed torque optimization control strategy can reduce the energy consumption in cornering by about 4% for constant motor efficiency ideally and 19% when considering the motor efficiency changes in reality.

Efficiency Optimization in Speed-Sensorless Control of Induction Motors

2014 ◽  
Vol 672-674 ◽  
pp. 1214-1218
Author(s):  
Hai Fang Yu ◽  
Peng Gao ◽  
Shun Jie Han
Keyword(s):  
Control Strategy ◽  
Induction Motors ◽  
Sensorless Control ◽  
Direct Torque Control ◽  
Torque Control ◽  
Optimal Control Strategy ◽  
Speed Sensorless ◽  
Efficiency Optimization ◽  
Motor Efficiency ◽  
Loss Efficiency

An efficiency optimization model for induction motors with speed-sensorless control is presented in this paper. An mathematical loss model with stator iron loss in DTC(Direct Torque Control) system is used to calculate the motors loss, the loss efficiency and the optimal flux. Additionally, the efficiency optimization control strategy combined with the speed-sensorless model is used to rebuild the simulation modeling. The simulation results with the proposed control strategy show superior effects compared to the traditional control methods. The optimal control strategy can be achieved to improve the motor efficiency.

Air Conditioning Units Optimize Control Strategy Based on Multi-Objective Optimization Evolutionary Algorithms

2014 ◽  
Vol 513-517 ◽  
pp. 3568-3571
Author(s):  
Bing Xu ◽  
Cheng Qian Xu ◽  
Zhong Jin Shi ◽  
Bao Guo Zheng ◽  
Xue Han Zhu
Keyword(s):  
Energy Consumption ◽  
Evolutionary Algorithms ◽  
Energy Saving ◽  
Control Strategy ◽  
Air Conditioning ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimization Control ◽  
Saving Effect ◽  
Air Conditioning Systems

In order to reduce the energy consumption of air conditioning systems, the best running model is adjusting the humiture according to actual needs of environment and groups.This paper take out a control strategy based on the Multi-objective Optimization Evolutionary Algorithms.With cntrol simulation, it achieve the energy saving effect in air conditioning units groups, proposed multi-objective optimization control strategy.

Strategy of Intelligent Energy-Saving Optimization Control and Energy Consumption Analysis on Regulator Control System of Closed Greenhouse

2014 ◽  
Vol 666 ◽  
pp. 184-187
Author(s):  
Min Gyu Zhang ◽  
Guang Hua Wu ◽  
Feng Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Energy Optimization ◽  
Saving Rate ◽  
Integration Strategy ◽  
Energy Consumption Analysis ◽  
Optimization Control ◽  
Optimizing Control ◽  
Saving Effect

Adopting the integrated TOPSIS intelligent energy optimization control strategy, and compared to conventional single control strategy on energy consumption of greenhouse equipment under closed condition, this paper arrives at the best energy saving optimization control strategy with comprehensive benefits. The result shows that, integrated intelligent optimizing control was obviously more energy saving compared to those did not take optimization control. Specific results as follows: TOPSIS integration strategy with energy saving of 725.39kwh, energy-saving rate of 44.19%.This shows that the proposed integrated intelligent energy optimization control strategy and energy saving effect is remarkable.

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