Electric Vehicle Improved by Three-Phase Asynchronous Cooled Motor

2013 ◽  
Author(s):  
Giuseppe Rattighieri ◽  
Michele Trancossi ◽  
Nicola Dorigo Salomon ◽  
Dean Vucinic
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Speed ◽  
Rotation Speed ◽  
Reggio Emilia ◽  
Heavy Load ◽  
Power Train ◽  
Electric Car ◽  
Three Phase ◽  
Cabin Interior

This paper presents the EVITA electric car. EVITA is the acronym of Electric Vehicle Improved by Three-phase Asynchronous cooled motor. It is a research project developed jointly by RGEngineering and University of Modena and Reggio Emilia. It aims to produce a novel electric power train with the capability of solving three fundamental problems of today commercial electric vehicles: 1. direct torque dependency of the rotation speed, and its reduction at high speed regimes; 2. electric motors performances reduction due to the overheating effects under heavy load conditions; 3. acclimatization of the car cabin interior in winter times.

scholarly journals An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Algorithm ◽  
Current Fluctuation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Three Phase ◽  
Optimization Control ◽  
Dc Bus ◽  
Vehicle Charging

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.

scholarly journals Energy optimization of an electric car using losses minimization and intelligent predictive torque control

2020 ◽  
Vol 14 ◽  
pp. 174830262096669
Author(s):  
Habib Kraiem ◽  
Shaaban M Shaaban
Keyword(s):  
Electric Vehicles ◽  
Rotation Speed ◽  
Energy Optimization ◽  
Torque Control ◽  
Control Algorithms ◽  
Electric Car ◽  
Optimization Study ◽  
Pi Controllers ◽  
Stator Flux ◽  
Tuning Methods

Autonomy is considered an important criterion that characterizes the performance of electric vehicles. It is represented by the distance that could be traveled by a fully electric vehicle which mainly depends on several parameters such as the vehicle model, type of battery, type of motor, etc. In this context, to improve the autonomy of electric vehicles, this paper represents an optimization study for the electric motor based on two contributions. The first devise an energy optimization algorithm to reduce the motor losses by calculation of the stator flux reference according to the electromagnetic torque and the rotation speed. The second is concerned with controller parameters adjustment using the Particle Swarm Optimization (PSO) technique to improve the efficacy and robustness of the drive. The performance of this strategy is evaluated in terms of torque, flux ripples, and transient response to step variations of the torque control. A comparative study of the designed PI controllers based on PSO with four other control algorithms and tuning methods is established in order to prove the efficiency of PI_PSO. The analysis, modeling, and simulation results are presented to verify the validity of the proposed overall optimization study.

scholarly journals Drive System Design for Small Autonomous Electric Vehicle: Topology Optimization and Simulation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhongming Wu ◽  
Mufangzhou Zhu ◽  
Yu Guo ◽  
Li Sun ◽  
Yuchen Gu
Keyword(s):  
Topology Optimization ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Speed ◽  
Gear Ratio ◽  
Drive System ◽  
Weight Percentage ◽  
Power Matching ◽  
Optimization And Simulation ◽  
Proof Strength

High driving efficiency remains challenging in autonomous electric vehicles, especially in small electric vehicle subtype. Here, we reported investigation of the structure and requirements of the drive system for those vehicles, while the motor-drive axle combined integrated driving scheme has been chosen. In the study, the power matching of drive motor as well as transmission ratio has been calculated based on the performance of the small electric vehicles, and the total gear ratio of 8.124 was determined. For better comprehensive performance and efficiency, the two-stage retarder has been designed, in which elements including high-speed shaft, low-speed shaft, gears, and differential have been examined to ensure their proof strength when the motor outputs reached the maximum torque. Notably, by utilizing topology optimization, Gear 4, the transmission unit with the heaviest weight percentage has been modified in a lightweight way, achieving a 41% reduction of the mass in emulation analysis and turned up to the target of optimization eventually.

scholarly journals Intellectualized testing & evaluation application based on unmanned test platform

2021 ◽  
Vol 268 ◽  
pp. 01036
Author(s):  
Rongliang Liang ◽  
Chang Yang
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Speed ◽  
Test Results ◽  
Road Test ◽  
The Road ◽  
Speed Test ◽  
Test Platform ◽  
Long Time

Taking three pure electric vehicles as the research object, the energy consumption and acceleration performance of the electric vehicle are tested and evaluated through the use of the intelligent unmanned test platform of the whole vehicle, which ensures that the accurate and high-speed test of the road test can be realized on the basis of no driver in the vehicle. For the electric vehicle energy consumption test, the intelligent unmanned test platform is used for road test, which not only effectively avoids the driver driving the test vehicle for a long time, but also ensures the accuracy and reliability of the test data. According to the test results, the acceleration response and energy consumption test results of three pure electric vehicles are analyzed and evaluated.

scholarly journals Experimental study on high-speed endurance of electric vehicle at normal temperature (25℃)

2021 ◽  
Vol 268 ◽  
pp. 01032
Author(s):  
Chun Li ◽  
Fan Yang ◽  
Zhenchong Wang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Speed ◽  
Chassis Dynamometer ◽  
Test Quality ◽  
Driving Mode ◽  
Test Conditions ◽  
Temperature Environment ◽  
Driving Range

Electric vehicle[1] endurance has always been a major concern for car buyers. Based on the six conventional electric vehicles selected from the market, the driving range of the chassis dynamometer with the environment warehouse is first carried out under the CLTC-P condition of normal temperature environment, and compared with the vehicle meter-display driving range. After testing the speed of 100 km/h of the driving range, the high-speed driving range at normal temperature is obtained, and then compared with the normal temperature driving range and the meter-display driving range, the drop rate of high-speed driving range is obtained. By analyzing and comparing the different test conditions of 6 vehicles, the influence trend of battery quantity, test quality, resistance and driving mode on high-speed driving range is obtained. Allowing consumers to anticipate their travel plans and also provides data for subsequent car companies to improve the quality of electric vehicles.

Electric Car-Sharing as a Solution Supporting the Development of Electromobility and an Element of the Travel Chain

2020 ◽  
pp. 211-229
Author(s):  
Grzegorz Sierpiński ◽  
Katarzyna Turoń
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Footprint ◽  
Environmentally Friendly ◽  
Car Sharing ◽  
Electric Car ◽  
The City ◽  
Positive Effect

The recently observed increase in the number of car-sharing operators using a fleet of electric vehicles created an opportunity to expand existing ecological travel chains. Electromobility is one of travelling options that reduces the transport carbon footprint. The goal of the chapter is to draw attention to the need of using car-sharing to promote environmentally friendly behavior and overcome concerns related to using an electric vehicle. The work presents the development of electric car-sharing in Europe and indicates challenges for further expansion of electromobility. By adding electric-car-sharing to the travel chain, the perception of ecological travelling significantly changes, since it combines various advantages for the user (e.g., comfort of travelling and individual trip) and a positive effect of such a choice on the environment and the city.

scholarly journals Electric Vehicle Assignment Considering Users’ Waiting Time

2021 ◽  
Vol 13 (23) ◽  
pp. 13484
Author(s):  
Weimin Ma ◽  
Jiakai Chen ◽  
Hua Ke
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Waiting Time ◽  
Traffic Congestion ◽  
Transportation Systems ◽  
Order Fulfillment ◽  
Electric Car ◽  
Assignment Model ◽  
Vehicle Assignment ◽  
Set Up

A one-way electric-car-sharing system is an environmentally friendly option for urban transportation systems, which can reduce air pollution and traffic congestion with effective vehicle assignment. However, electric vehicle assignment usually faces a dilemma where an insufficient battery level cannot fulfill the requests of users. It greatly affects assignment choices and order fulfillment rates, resulting in the loss of platform profit. In this study, with the assumption that the users agree to wait for a period of time during which electric vehicles can be charged to fulfill trip demands, we proposed a waiting-time policy and introduced users’ utility to measure user retention. Then, we set up a bi-level electric-vehicle assignment model with a waiting-time policy to optimize the assignment and waiting decisions. The numerical results show that under the waiting-time policy, we can achieve more profits, a higher trip fulfillment rate, and a significant improvement in vehicle utilization. It not only generates more profits for the platform but also provides a better service for users and lays a user foundation for the future development and operation.

Comparison of Green House Gases Emitted by Electrical and Gasoline Cars, Taking Into Consideration Performance

2009 ◽  
Author(s):  
Kau-Fui Vincent Wong ◽  
Nicolas Perilla
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Alternative Fuels ◽  
Internal Combustion Engines ◽  
Specific Power ◽  
Green House Gases ◽  
Electric Cars ◽  
Green House ◽  
Electric Car ◽  
Gasoline Vehicles

The goal of this study is to add to the understanding of the overall emissions caused by cars using both gasoline and existing alternative fuels. We will include the emission from the vehicle itself and also from upstream sources, primarily the source of the energy used to actually move the vehicle. The fact that electric motors have better efficiencies than internal combustion engines and the fact that power plants usually have higher thermal efficiencies than an engine seems to suggest that that the electric vehicle will be the more efficient in terms of emissions per vehicle kilometer. The complexities of vehicle propulsion become evident when one compares all the details of the available options, such as electric vehicles have to transport extra weight in batteries to increase performance. In this work we evaluate the emissions from electric and gasoline vehicles that are on the road. The data shows under most conditions the current vehicles have lower emissions than gasoline cars in terms of kilograms of carbon dioxide per kilometer. The different propulsion systems are then evaluated in how they would perform in moving a standardized vehicle including the system itself through a standardized cycle, to assess whether differences in emissions are the result of the system itself or other design differences. This study found that while in general the electric vehicle is better, the source of the electricity is a crucial factor in the determination. It is found that the cars currently being produced produce less green house gases than the gasoline cars on the average. In fact two of the four cars performed better even at the highest possible emission levels. While this casts a positive light on the electric car, it is a simplistic way of looking at the data. The calculations also show that the performance levels of the gasoline cars are much higher than the electric cars; this could be the main reason for the lower emissions of electric cars. The second part of this study is focused on quantifying the differences in emissions by studying that from a standardized car in all 50 states and D.C. These differences arise from the different levels of emissions owing to the variety of combinations of methods used and the methods themselves in the generation of electricity within the 51 regions. An analysis is done on of the most efficient car that could be made with commercially available products. The results show the dependence of actual emission on the energy source. Although the national, California, Florida and lowest averages all beat the performance of the gasoline vehicle, the gasoline car won if the electric car was operated in D.C. using electricity generated in the D.C. Results for the electric car in all 51 regions and for the gasoline car have been obtained. There is an implication that lower specific power would result in more states where electric vehicles will emit more green house gases. Assuming that new cars do use the higher specific power batteries, electric vehicles will produce less green house gases than gasoline vehicles at a national level.

scholarly journals Status of Pure Electric Vehicle Power Train Technology and Future Prospects

2020 ◽  
Vol 3 (3) ◽  
pp. 35 ◽  
Author(s):  
Abhisek Karki ◽  
Sudip Phuyal ◽  
Daniel Tuladhar ◽  
Subarna Basnet ◽  
Bim Prasad Shrestha
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimization Techniques ◽  
Environmental Benefits ◽  
Gas Emissions ◽  
Power Train ◽  
Transportation Sector ◽  
The World

Electric vehicles (EV) are becoming more common mobility in the transportation sector in recent times. The dependence on oil as the source of energy for passenger vehicles has economic and political implications, and the crisis will take over as the oil reserves of the world diminish. As concerns of oil depletion and security of the oil supply remain as severe as ever, and faced with the consequences of climate change due to greenhouse gas emissions from the tail pipes of vehicles, the world today is increasingly looking at alternatives to traditional road transport technologies. EVs are seen as a promising green technology which could lead to the decarbonization of the passenger vehicle fleet and to independence from oil. There are possibilities of immense environmental benefits as well, as EVs have zero tail pipe emission and therefore are capable of curbing the pollution problems created by vehicle emission in an efficient way so they can extensively reduce the greenhouse gas emissions produced by the transportation sector as pure electric vehicles are the only vehicles with zero-emission potential. However, there are some major barriers for EVs to overcome before totally replacing ICE vehicles in the transportation sector and obtain appreciable market penetration. This review evaluates the technological aspects of the different power train systems of BEV technology and highlights those technological areas where important progress is expected by focusing on reviewing all the useful information and data available on EV architecture, electrical machines, optimization techniques, and its possibilities of future developments as green mobility. The challenges of different electric drive trains’ commercialization are discussed. The major objective is to provide an overall view of the current pure electric vehicle powertrain technology and possibilities of future green vehicle development to assist in future research in this sector.

Sign in / Sign up

Export Citation Format

Share Document