scholarly journals Multidriving Modes and Control Strategies of a Dual-Rotor In-Wheel Motor Applied in Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Junmin Li ◽  
Ren He
Keyword(s):  
Electric Vehicle ◽  
High Efficiency ◽  
Sliding Mode ◽  
Control Strategies ◽  
Minimum Energy ◽  
Operating Characteristics ◽  
Torque Distribution ◽  
Distribution Strategy ◽  
Speed Controller ◽  
Minimum Energy Consumption

To overcome the shortcomings and limited applications of the traditional in-wheel motor applied practically in electric vehicles, a novel dual-rotor in-wheel motor (DRIWM) was proposed, which has three driving modes and can meet the operating requirements of electric vehicle under different driving conditions. Based on the principle of minimum energy consumption, the torque distribution strategy was presented to obtain the optimal torque distribution of the inner and outer motors under different working points, and the driving modes were also divided. Using the models built in Matlab/Simulink, the operating characteristics of the DRIWM under certain conditions were simulated. The results show that the id = 0 vector control strategy based on sliding mode speed controller is applicable to the drive control for the DRIWM. When the vehicle is coupled to drive on three ramps with the grade of 10%, 15%, and 20% at a constant speed, the power consumption of the driving system with the adoption of optimized torque distribution strategy reduces by 2.2%, 1.7%, and 4.5%, respectively, compared with nonoptimized strategy. Furthermore, the three driving modes can switch freely with the operating condition changes in the vehicle under a standard driving cycle. Simultaneously, the inner and outer motors work with high efficiency.

scholarly journals Optimal Velocity Control for a Battery Electric Vehicle Driven by Permanent Magnet Synchronous Motors

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Dongbin Lu ◽  
Minggao Ouyang ◽  
Jing Gu ◽  
Jianqiu Li
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicle ◽  
Information Technologies ◽  
High Efficiency ◽  
Permanent Magnet Synchronous Motor ◽  
Minimum Energy ◽  
Maximum Efficiency ◽  
Optimal Velocity ◽  
Minimum Energy Consumption ◽  
Economic Operation

The permanent magnet synchronous motor (PMSM) has high efficiency and high torque density. Field oriented control (FOC) is usually used in the motor to achieve maximum efficiency control. In the electric vehicle (EV) application, the PMSM efficiency model, combined with the EV and road load system model, is used to study the optimal energy-saving control strategy, which is significant for the economic operation of EVs. With the help of GPS, IMU, and other information technologies, the road conditions can be measured in advance. Based on this information, the optimal velocity of the EV driven by PMSM can be obtained through the analytical algorithm according to the efficiency model of PMSM and the vehicle dynamic model in simple road conditions. In complex road conditions, considering the dynamic characteristics, the economic operating velocity trajectory of the EV can be obtained through the dynamic programming (DP) algorithm. Simulation and experimental results show that the minimum energy consumption and global energy optimization can be achieved when the EV operates in the economic operation area.

Design of Torque Distribution Strategy for Four-Wheel-Independent-Drive Electric Vehicle

2020 ◽  
Vol 54 (6) ◽  
pp. 501-512
Author(s):  
Chuanwei Zhang ◽  
Rongbo Zhang ◽  
Rui Wang ◽  
Bo Chang ◽  
Jian Ma
Keyword(s):  
Electric Vehicle ◽  
Torque Distribution ◽  
Distribution Strategy

Fuzzy Logic Control Strategy for an Extended-Range Electric Vehicle

2012 ◽  
Vol 220-223 ◽  
pp. 968-972 ◽  
Author(s):  
Ji Gao Niu ◽  
Su Zhou
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
High Efficiency ◽  
Control Strategies ◽  
Vehicle Performance ◽  
Logic Control ◽  
Extended Range ◽  
Avl Cruise

This paper presents a Fuzzy Logic Control Strategy (FLCS) for an Extended-range Electric Vehicle (E-REV) with series structure. The control strategy design objective of the E-REV is fuel economy. Based on the State of Charge (SOC) of the battery and the desired power for driving, the power required by the vehicle is split between the engine/generator set and the battery by the FLCS. The engine can be operated consistently in a very high efficiency area and the SOC of the battery can be maintained at a reasonable level. Some standard driving cycles and two control strategies of Power Follower Control Strategy (PFCS) and FLCS were simulated with AVL-Cruise and Matlab/Simulink to analyze the vehicle performance. Some simulation results are compared and discussed: the FLCS indicates better performance in terms of fuel consumption.

Optimization of Economy Shift Schedule for Automated Mechanical Transmission in a Parallel Hybrid Electric Vehicle

2012 ◽  
Vol 260-261 ◽  
pp. 331-336
Author(s):  
Zhen Tong Liu ◽  
Hong Wen He ◽  
Wei Qing Li
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Mechanical Transmission ◽  
Torque Distribution ◽  
Power Train ◽  
Distribution Strategy ◽  
Parallel Hybrid Electric Vehicle ◽  
Shift Schedule ◽  
Parallel Hybrid ◽  
Hybrid Electric

Power train of hybrid electric vehicle (HEV) equipped with automated mechanical transmission (AMT) is made up of engine, electric motor, batteries and propulsion system. Shift schedule can’t be worked out with the same way of conventional AMT vehicle. Based on the optimal torque distribution strategy and analysis of the driving efficiency for parallel hybrid electric vehicle (PHEV), a new economy shift schedule for PHEVs equipped with AMT is proposed to maximize the driving efficiency. The MATLAB/CRUISE co-simulation results show that the proposed shift schedule can more efficiently improve the fuel economy performance.

scholarly journals Design and Analysis of DYC and Torque Vectoring using Multiple-Frequency Control Electronic Differential in an Independent Rear Wheel Driven Electric Vehicle

2019 ◽  
Vol 9 (2) ◽  
pp. 307-315
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Control Method ◽  
Sliding Mode ◽  
Control Strategies ◽  
Frequency Control ◽  
Multiple Frequency ◽  
Traction Control ◽  
Traction Control System ◽  
Torque Vectoring

Electric vehicle (EV) are being embraced in recent times as they run on clean fuel, zero tail emission and are environment-friendly. Recent advancements in the field of power electronics and control strategies have made it possible to the advent in the vehicle dynamics, efficiency and range. This paper presents a design for traction control system (TCS) for longitudinal stability and Direct Yaw Control (DYC) for lateral stability simultaneous. The TCS and DYC is based on multiple frequency controlled electronic differential with a simple and effective approach. Along with it, some overviews have been presented on some state of the art in traction control system (TCS) and torque vectoring. The developed technique reduces nonlinearity, multisensory interfacing complexity and response time of the system. This torque and yaw correction strategy can be implemented alongside fuzzy control, sliding mode or neural network based controller. The effectiveness of the control method has been validated using a lightweight neighbourhood electric vehicle as a test platform. The acquired results confirm the versatility of proposed design and can be implemented in any DC motor based TCS/DYC.

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