scholarly journals Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yong Wang ◽  
Hongguo Cai ◽  
Yinghua Liao ◽  
Jun Gao
Keyword(s):  
Computer Simulation ◽  
Electric Vehicles ◽  
Power Transmission ◽  
Dynamic Performance ◽  
Optimization Method ◽  
Transmission System ◽  
Vehicle Dynamic ◽  
Transmission Scheme ◽  
Electric Transmission ◽  
Powertrain System

Equipped with two power sources, the dual-driving powertrain system for pure electric vehicles has a driving mode different from traditional electric vehicles. Under the premise that the structural form of the transmission system remains unchanged, the following transmission schemes can be adopted for double drive electric vehicles according to the demand power: the main and auxiliary electric transmission scheme (two motors are driven separately with dual-motor coupling drive), the transmission scheme in which the two motors always maintain coupling drive, and the speed-regulating type electric transmission scheme (the main motor is always responsible for driving, and the auxiliary motor is responsible for speed regulation). Therefore, a significant difference exists in the design methods of the power transmission system of double drive electric vehicles and existing vehicles. As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. The prototype car used in this paper is a self-owned brand car; MATLAB/Simulink platform is used to build the vehicle simulation model, which is used for the computer simulation analysis of the vehicle dynamic performance and economy. It can be seen from the analysis result that the system parameters obtained by using the global optimization method proposed in this study can improve the vehicle dynamic performance and economic performance to varying degrees, which proves the efficiency and feasibility of the optimization method.

Power transmission system modelling

1998 ◽  
Vol 212 (6) ◽  
pp. 497-505 ◽  
Author(s):  
H Bartlett ◽  
R Whalley
Keyword(s):  
Power Transmission ◽  
Dynamic Performance ◽  
Torsional Oscillation ◽  
Transmission System ◽  
System Modelling ◽  
Hybrid Modelling ◽  
Response Characteristics ◽  
Power Transmission System ◽  
Discrete Modelling ◽  
Modelling Techniques

This paper employs hybrid modelling techniques in the investigation of the dynamic performance of ‘long’ driveshafts, which include a clutch and load, for power transmission purposes. The power transmission system considered is suitable for a wide variety of applications in which the load is coupled directly to the clutch and hence to the ‘long’ driveshaft. Owing to the length of the shaft and relatively pointwise location of the clutch and load, a distributed—lumped (D—L) description of the arrangement is investigated. This enables the behaviour of the dispersed driveline shaft to be ‘adequately’ replicated along with the connecting elements. A discrete modelling approach is adopted and analysis and simulated response characteristics are presented, thereby validating the technique. Existing results on clutch judder are referred to and the interaction between judder and the driveshaft torsional oscillation is commented upon.

Dynamic Modeling and Simulation for Battery Electric Vehicles under Inverter Fault Conditions

2011 ◽  
Vol 110-116 ◽  
pp. 3007-3015
Author(s):  
Gwangmin Park ◽  
Byeongjeom Son ◽  
Daehyun Kum ◽  
Seonghun Lee ◽  
Sangshin Kwak
Keyword(s):  
Electric Vehicle ◽  
Dynamic Modeling ◽  
Electric Vehicles ◽  
Dynamic Performance ◽  
Vehicle Speed ◽  
Calibration Data ◽  
Vehicle Dynamic ◽  
Drive Mode ◽  
Modeling Simulation ◽  
Real Vehicle

This paper presents a dynamic modeling, simulation, and analysis of a Battery Electric Vehicle (BEV) according to vehicle dynamic characteristics. Mathematical model variants for the components of BEVs can be modeled and investigated using the Matlab/Simulink software. In order to compare the dynamic performance of BEVs under inverter fault and normal conditions, the CarSim co-simulation platform is configured with real vehicle calibration data. Using this approach, it was possible to quickly check for dynamic performance issues of an electric vehicle without incurring the time delay and cost. The simulation results such as motor output, vehicle speed/acceleration, and propulsion forces are discussed and compared for each drive mode.

scholarly journals Computer Simulation Design of Electric Vehicle Dynamic Performance

2021 ◽  
Vol 2143 (1) ◽  
pp. 012049
Author(s):  
Suhua Li
Keyword(s):  
Computer Simulation ◽  
Electric Vehicles ◽  
Technological Progress ◽  
Dynamic Performance ◽  
Simulation Design ◽  
Power Generators ◽  
New Energy ◽  
Battery Technology ◽  
The Average Range ◽  
New Energy Vehicles

Abstract New energy vehicles are mainly pure electric new energy vehicles. Pure electric vehicles are powered entirely by batteries, as well as power generators. With the improvement of economic level, scientific and technological progress, as well as the emphasis on energy conservation and emission reduction, the development of pure electric vehicles is more rapid, computer simulation design technology helps to adjust and optimize the dynamic performance of electric vehicles, in 2019, the output of pure electric vehicles reached 56,700, it is expected to reach about 100,000 by 2022. However, due to the limitation of battery technology, the average range of pure electric vehicles is about 200km. So it can only withstand short distances between cities.

scholarly journals Parameter Matching Optimization of a Powertrain System of Hybrid Electric Vehicles Based on Multi-Objective Optimization

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 875 ◽  
Author(s):  
Xiaoling Fu ◽  
Qi Zhang ◽  
Jiyun Tang ◽  
Chao Wang
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Powertrain System ◽  
Parameter Matching ◽  
Hybrid Electric ◽  
Fuel Consumption And Emissions

Aiming at problems of large computational complexity and poor reliability, a parameter matching optimization method of a powertrain system of hybrid electric vehicles based on multi-objective optimization is proposed in this paper. First, according to the vehicle basic parameters and performance indicators, the parameter ranges of different components were analyzed and calculated; then, with the weight coefficient method, the multi-objective optimization (MOO) problem of fuel consumption and emissions was transformed into a single-objective optimization problem; finally, the co-simulation of AVL Cruise and Matlab/Simulink was achieved to evaluate the effects of parameter matching through the objective function. The research results show that the proposed parameter matching optimization method for hybrid electric vehicles based on multi-objective optimization can significantly reduce fuel consumption and emissions of a vehicle simultaneously and thus provides an optimized vehicle configuration for energy management strategy research. The method proposed in this paper has a high application value in the optimization design of electric vehicles.

scholarly journals A chaotic particle swarm optimization algorithm for solving optimal power system problem of electric vehicle

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983350 ◽  
Author(s):  
Tianjun Zhu ◽  
Hongyan Zheng ◽  
Zonghao Ma
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Vehicles ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Vehicle Dynamic ◽  
Swarm Optimization ◽  
Simulation Results ◽  
Chaotic Particle Swarm Optimization

Transportation of electrification has become a hot issue in recent decades and the large-scale deployment of electric vehicles has yet to be actualized. This article proposes a powertrain parameter optimization design approach based on chaotic particle swarm optimization algorithm. To improve the driving and economy performance of pure electric vehicles, chaotic particle swarm optimization algorithm is adopted in this study to optimize principal parameters of vehicle power system. Vehicle dynamic performance simulations were carried out in the Cruise software, and the simulation results before and after optimization were compared. Simulation results show that optimized vehicles by chaotic particle swarm optimization can meet the expected dynamic performance and the driving range has been greatly improved. Meanwhile, it is also viable that the parameters of the optimal objective function can achieve the purpose of balancing the driving performance and economic performance, which provides a reference for the development of vehicle dynamic performance.

scholarly journals Operation Mode Analysis, Parameter Matching and Control Strategy Research for a Novel Range-Extended Electric Vehicle

2014 ◽  
Vol 8 (1) ◽  
pp. 809-819
Author(s):  
Jianjun Hu ◽  
Guoqiang Zu ◽  
Ming Xie ◽  
Jia Chen
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Power Transmission ◽  
Dynamic Performance ◽  
Operation Mode ◽  
Mode Analysis ◽  
Transmission Scheme ◽  
Vehicle Operation ◽  
Parameter Matching ◽  
And Control

In order to improve the dynamic performance and endurance mileage of vehicle, operation mode and parameter matching were analyzed and designed on a novel power transmission scheme of range-extended electric vehicle (R-EEV), and the following control strategy of the engine optimization curve was proposed. The simulation was carried out on the Matlab/Simulink software platform and the results showed that the matching parameters and the control strategy of engine were both reasonable, the dynamic performance improved and the vehicle could be operated efficiently.

scholarly journals Collaborative Optimization Method of Power and Efficiency for LCC-S Wireless Power Transmission System

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3088
Author(s):  
Ming Xue ◽  
Qingxin Yang ◽  
Chunzhi Li ◽  
Pengcheng Zhang ◽  
Shuting Ma ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Power Transmission ◽  
Optimization Method ◽  
Collaborative Optimization ◽  
Wireless Power ◽  
Environmental Disturbances ◽  
Power Adjustment ◽  
Optimal Load ◽  
Optimal Efficiency ◽  
Equivalent Load

Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.

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