scholarly journals Power system parameters matching of in-wheel motor drive electric vehicle

2021 ◽  
Vol 257 ◽  
pp. 01044
Author(s):  
Wei Chen Ren ◽  
Yi Fang ◽  
Xiao Peng Li ◽  
Zheng Xu ◽  
Xu Long Wang
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Motor Drive ◽  
System Parameters ◽  
Type Selection ◽  
Power Battery ◽  
Outer Rotor ◽  
Parameter Matching ◽  
Avl Cruise

Based on the line-controlled chassis platform, the low-speed outer rotor motor is used to drive the wheel directly in the designed in-wheel motor line-controlled electric vehicle. The power system parameters of the designed four-wheel independent drive electric vehicle are matched and simulated by offline simulation. Firstly, based on the theoretical basis of the research on the parameter matching of the power system of pure electric vehicles, the type selection and parameter matching of the hub motor and power battery are carried out according to the established dynamic and economic indicators. Then, the designed component parameters are repeatedly corrected until the design goal is achieved; Finally, the vehicle model is built in AVL cruise, and the design results are simulated by software.

scholarly journals Parameter matching and simulation analysis of power system of pure electric vehicle

2021 ◽  
Vol 2076 (1) ◽  
pp. 012091
Author(s):  
Jiwei Geng ◽  
Qun Chi
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Simulation Analysis ◽  
Vehicle Speed ◽  
Critical Component ◽  
Power Performance ◽  
Environmental Destruction ◽  
Parameter Matching

Abstract The consumption of gasoline and diesel for cars is beyond imagination. Along with these problems comes environmental destruction. In order to achieve the two major indicators of power performance and economy, the most critical component of electric vehicles --- the power system is optimized and improved, and simulation is used to verify it on this basis‥ It can be concluded that the maximum vehicle speed is greater than 120km/h, the maximum gradeability exceeds 30%, the cruising range reaches 178km.

scholarly journals Optimization and performance analysis of the power system in hybrid electric vehicles

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jianbai Xu
Keyword(s):  
Power System ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Basic Structure ◽  
Original Performance ◽  
Type Selection ◽  
Hybrid Electric ◽  
And Performance ◽  
Avl Cruise ◽  
Selection Of

Hybrid electric vehicles (HEV) are the most industrialized and marketable in electric vehicles. Referring to the basic structure and parameters adopted by PRIUS Hybrid of Toyota, this paper puts forward an optimization scheme of HEV. The parameters and type selection of power components are obtained according to the vehicle's dynamic formula. The optimized hybrid power system is built and simulated through the simulation platform AVL Cruise. Then the obtained economic and dynamic parameters are analyzed and compared with the original performance parameters, verifying that the optimized system has better performance.

Study on Quick Changing Device of Power Battery of Electric Vehicle

2011 ◽  
Vol 138-139 ◽  
pp. 718-722
Author(s):  
Chang Xian Cheng ◽  
Jian Hua Yan
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Energy Supply ◽  
Practical Method ◽  
Suitable Method ◽  
Major Topic ◽  
Power Battery

The electricity changing models for the energy supply of electric vehicles are described and introduced. A more suitable method of fast replacing battery of electric vehicles is found and the practical method and process of quickly replacing battery are focused as a major topic. The changing equipment used is studied and described while the efficiency of electrical changing equipments is discussed. The reserve number of batteries in power charging plant and the number of vehicles that each quickly changing device could service are studied and derived.

The Control Strategy Of V2G Participating in Peak Regulation in Power System

2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Distributed Energy ◽  
Control Center ◽  
Distributed Energy Storage ◽  
New Energy ◽  
Regulation Function ◽  
Control Layer

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.

Research on parameter matching of electric vehicle power system based on genetic algorithm

2020 ◽  
Author(s):  
Hongtao Wang ◽  
Honglian Zhou ◽  
Qian Cao ◽  
Mengke Liao ◽  
Bin Wang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Electric Vehicle ◽  
Parameter Matching

Information Fusion for State Estimation of Power Battery in Electric Vehicle Based on Unscented Kalman Filter

2013 ◽  
Vol 303-306 ◽  
pp. 975-978
Author(s):  
Hong Yu Zheng ◽  
Chang Fu Zong
Keyword(s):  
Kalman Filter ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Information Fusion ◽  
Unscented Kalman Filter ◽  
Accurate Estimate ◽  
Fusion Algorithm ◽  
Power Battery ◽  
Battery State Of Charge ◽  
New Generation

The power battery state of charge (SOC) in electric vehicles is not easy to measure accurately or apply a sensor but the expense is increased. However the variable of SOC is great importance to control of electric vehicles. A power battery model is built by the Partnership for a New Generation of Vehicles (PNGV) model to estimate the state of SOC. In order to make a high accurate estimate for SOC value, an information fusion algorithm based on unscented kalman filter (UKF) is introduced to design an observer. The test results show that the observer based information fusion and UKF are effective and accuracy, so it is may apply it the electric vehicle control and observation.

Co-Simulation of Composite ABS Control for In-Wheel Motor Drive Electric Vehicle Based on Threshold Control Algorithm

2013 ◽  
Vol 690-693 ◽  
pp. 3036-3041 ◽  
Author(s):  
Jian Hua Li ◽  
Chuan Xue Song ◽  
Li Qiang Jin
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Electric Motor ◽  
Control Method ◽  
Slip Rate ◽  
Motor Drive ◽  
Control Logic ◽  
Threshold Control ◽  
Road Friction ◽  
Logic Threshold

According to the brake characteristics of in-wheel motor drive electric vehicles, and basing on threshold control method, we describe one kind of composite ABS control theory about electric motor ABS combined with hydraulic friction ABS, and establish a co-simulation vehicle model. The composite ABS control method is a control method that the electric motor ABS control works together with the hydraulic ABS control. Both of the two modes of ABS control logic were using logic threshold control method. The model of the in-wheel motor drive electric vehicle was established with AMESim, and the model of the composite ABS controller was built with Simulink. The control performance of composite ABS in different braking strength and different road friction coefficients is simulated. Co-simulation was carried out. Through analysis, a number of parameters curves were obtained. It proves that the composite ABS control method for in-wheel motor drive electric vehicles can effectively control the slip rate, and ensure braking stability.

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