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 An Attention-Based Model for Travel Energy Consumption of Electric Vehicle with Traffic Information

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shen Li ◽  
Hailong Zhang ◽  
Huachun Tan ◽  
Zhiyu Zhong ◽  
Zhuxi Jiang
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Research Area ◽  
Traffic Information ◽  
Driving Experience ◽  
The Road ◽  
Proposed Model ◽  
Battery Capacity

Mileage anxiety is one of the most important factors that affect the driving experience due to the limitation of battery capacity. Robust and accurate prediction of the energy consumption of the journey of the electric vehicle can guide the driver to allocate the power rationally and relieve the anxiety of the mileage. Since vehicle sharing is the biggest application scenario of electric vehicles, it is a critical challenge in share mobility research area. In this paper, a travel energy consumption prediction model of electric vehicles is proposed in order to improve the mobility of shared cars and reduce the anxiety of drivers because they are worried about insufficient power. A recurrent neural network with attention mechanism and deep neural network is used to build the model. To validate the proposed model, a simulation is demonstrated based on both traffic and vehicle information. After the simulation, experimental results show that the proposed model has high prediction accuracy, and we also show through visualization how the model finds high relevant road segments of the road network while dealing with corresponding traffic state input.

Design and Implementation of Electric Vehicle Power Lithium Battery Protection Board

2010 ◽  
Vol 152-153 ◽  
pp. 192-196
Author(s):  
Ju Hua Huang ◽  
Ming Cao ◽  
Hang Guo
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Lithium Batteries ◽  
Lithium Battery ◽  
Short Circuit ◽  
Battery Life ◽  
Test Results ◽  
Charge Balance ◽  
Good Test ◽  
Li Ion

The performance of power lithium batteries directly affects the performance of electric vehicles. To ensure the safety of power lithium batteries and improve battery life, this paper uses Ricoh R5408 Series Li-ion battery protection IC to design the high-current protection board for electric vehicle, to achieve the power lithium battery group overcharge protection, over-discharge protection, over current, short circuit protection, temperature protection and charge balance protection, and has run on the pure electric vehicles with good test results.

Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

2017 ◽  
Vol 31 (34) ◽  
pp. 1750324 ◽  
Author(s):  
Hong Xiao ◽  
Hai-Jun Huang ◽  
Tie-Qiao Tang
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Traffic Flow ◽  
Small Perturbation ◽  
Electric Vehicles ◽  
Electricity Consumption ◽  
Heterogeneous Traffic ◽  
Rarefaction Waves ◽  
Fuel Consumption And Emissions

Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

scholarly journals Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7591
Author(s):  
Wojciech Cieslik ◽  
Filip Szwajca ◽  
Jedrzej Zawartowski ◽  
Katarzyna Pietrzak ◽  
Slawomir Rosolski ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Target Range ◽  
Zero Energy ◽  
Zero Energy Building ◽  
Driving Conditions ◽  
Almost All

The growing number of electric vehicles in recent years is observable in almost all countries. The country’s energy transition should accompany this rise in electromobility if it is currently generated from non-renewable sources. Only electric vehicles powered by renewable energy sources can be considered zero-emission. Therefore, it is essential to conduct interdisciplinary research on the feasibility of combining energy recovery/generation structures and testing the energy consumption of electric vehicles under real driving conditions. This work presents a comprehensive approach for evaluating the energy consumption of a modern public building–electric vehicle system within a specific location. The original methodology developed includes surveys that demonstrate the required mobility range to be provided to occupants of the building under consideration. In the next step, an energy balance was performed for a novel near-zero energy building equipped with a 199.8 kWp photovoltaic installation, the energy from which can be used to charge an electric vehicle. The analysis considered the variation in vehicle energy consumption by season (winter/summer), the actual charging profile of the vehicle, and the parking periods required to achieve the target range for the user.

scholarly journals Exhaust Emissions and Energy Consumption Analysis of Conventional, Hybrid, and Electric Vehicles in Real Driving Cycles

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6423
Author(s):  
Jacek Pielecha ◽  
Kinga Skobiej ◽  
Karolina Kurtyka
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Dioxide Emissions ◽  
Gasoline Engine ◽  
Exhaust Emissions ◽  
Hybrid Vehicles ◽  
The European Union ◽  
Passenger Cars ◽  
Traffic Conditions

One of the environmental aims of the European Union is to achieve climate neutrality by 2050. According to European Parliament data, transport emissions accounted for about 25% of global carbon dioxide emissions in 2016, in which road transport had the largest share (approximately 72%). This phenomenon is particularly visible in urban agglomerations. The solution examples are the popularization of hybrid vehicles and the development of electromobility. The aim of this paper is an assessment of the energy consumption and exhaust emissions from passenger cars fitted with different powertrains in actual operation. For the tests, passenger cars with conventional engines of various emission classes were used as well as the latest hybrid vehicles and an electric car. It enabled a comparative assessment of the energy consumption under different traffic conditions, with particular emphasis on the urban phase and the entire RDE (Real Driving Emissions) test. The results were analyzed to identify changes in these environmental factors that have occurred with the technical advancement of vehicles. The lowest total energy consumption in real traffic conditions is characteristic of an electric vehicle; the plug-in hybrid vehicle with a gasoline engine is about 10% bigger, and the largest one is a combustion vehicle (30% bigger than an electric vehicle). These data may contribute to the classification of vehicles and identification of advantages of the latest developments in conventional, hybrid, and electric vehicles.

scholarly journals Efficient Gear Ratio Selection of a Single-Speed Drivetrain for Improved Electric Vehicle Energy Consumption

2020 ◽  
Vol 12 (21) ◽  
pp. 9254
Author(s):  
Polychronis Spanoudakis ◽  
Gerasimos Moschopoulos ◽  
Theodoros Stefanoulis ◽  
Nikolaos Sarantinoudis ◽  
Eftichios Papadokokolakis ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Dynamic Model ◽  
Electric Vehicles ◽  
Gear Ratio ◽  
Test Bed ◽  
Time Data ◽  
Dynamic Simulations ◽  
Ratio Set ◽  
Selection Of

The electric vehicle (EV) market has grown over the last few years and even though electric vehicles do not currently possess a high market segment, it is projected that they will do so by 2030. Currently, the electric vehicle industry is looking to resolve the issue of vehicle range, using higher battery capacities and fast charging. Energy consumption is a key issue which heavily effects charging frequency and infrastructure and, therefore, the widespread use of EVs. Although several factors that influence energy consumption of EVs have been identified, a key technology that can make electric vehicles more energy efficient is drivetrain design and development. Based on electric motors’ high torque capabilities, single-speed transmissions are preferred on many light and urban vehicles. In the context of this paper, a prototype electric vehicle is used as a test bed to evaluate energy consumption related to different gear ratio usage on single-speed transmission. For this purpose, real-time data are recorded from experimental road tests and a dynamic model of the vehicle is created and fine-tuned using dedicated software. Dynamic simulations are performed to compare and evaluate different gear ratio set-ups, providing valuable insights into their effect on energy consumption. The correlation of experimental and simulation data is used for the validation of the dynamic model and the evaluation of the results towards the selection of the optimal gear ratio. Based on the aforementioned data, we provide useful information from numerous experimental and simulation results that can be used to evaluate gear ratio effects on electric vehicles’ energy consumption and, at the same time, help to formulate evolving concepts of smart grid and EV integration.

scholarly journals Road Test-Based Electric Bus Selection: A Case Study of the Nanjing Bus Company

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1253
Author(s):  
Jian Gong ◽  
Jie He ◽  
Cheng Cheng ◽  
Mark King ◽  
Xintong Yan ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Test Method ◽  
Selection Methods ◽  
Road Test ◽  
The Road ◽  
Structure Selection ◽  
Electric Bus ◽  
The City ◽  
Selection Of

Globally, the use of electric vehicles, and in particular the use of electric buses, has been increasing. The city of Nanjing leads China in the adoption of electric buses, supported by city policies and infrastructure. To lower costs and provide a better service, vehicle selection is crucial, however, existing selection methods are limited. Accordingly, Nanjing Bus Company developed a test method based on road tests to select a bus. This paper presents a detailed description of the test method and a case study of its application. The method included an organization structure, selection of eight test vehicles (four 10 m length, four 8 m length) from four brands (a total of 32 test vehicles), selection of indicators and selection of routes. Data was collected from repeated drives by 65 drivers over an 8-week period. Indicators included power consumption, charging duration, failure duration and driving distance. It is concluded that the road test method designed and conducted by the Nanjing Bus Company provides a good framework for the selection of pure electric buses. Furthermore, subsequent experience with selected buses supports the validity and value of the model.

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.

Conceptual Design of an Automatically Replacing and Charging System for Electric Vehicles

2012 ◽  
Vol 510 ◽  
pp. 136-140
Author(s):  
Shu Ping Chen ◽  
Fan Qiang Cheng ◽  
Chen Gan Liu ◽  
Qing Chun Zhang ◽  
Long Li
Keyword(s):  
Electric Vehicle ◽  
Conceptual Design ◽  
Electric Vehicles ◽  
Vehicle Model ◽  
Charging System ◽  
Charging Station ◽  
Gps Navigation ◽  
Late Model ◽  
Long Time ◽  
Low Efficiency

Electric vehicle is an important developing trend of the vehicle industry and the power and technique field. But nowadays, there still exist some problems in this field which cant be solved with mature solutions, such as long time of charging, high cost of replacing and charging station and large areas it covers, low efficiency and so on. By building an effective model, this paper brings up a conceptual design of an automatic system of replacing and charging batteries for electric vehicles with the late-model design of the multi-station device. By observing the effect of the experimental device, it can solve the problems mentioned above, but more should be done to improve it. This design, the demo system, mainly includes electric vehicle model system, replacing and charging station system and GPS navigation system, and it performs excellent in experiment.

Longitudinal Control for a Magnetic Navigation Unmanned Electric Vehicle

2015 ◽  
Vol 734 ◽  
pp. 327-331
Author(s):  
Li Zou ◽  
Feng Luo
Keyword(s):  
Electric Vehicle ◽  
Magnetic Navigation ◽  
Test Results ◽  
Tracking Accuracy ◽  
Longitudinal Control ◽  
The Road ◽  
Speed Tracking ◽  
Smooth Switching ◽  
Vehicle Dynamics Control ◽  
Switch Strategy

This paper designs a longitudinal controller for a magnetic navigation unmanned electric vehicle to obtain desired values for speed tracking. The motion control algorithm is proposed using PID control via fuzzy logic for PID parameters online adjusting. A switch strategy is designed to guarantee the smooth switching between the drive actuator and the brake one. The vehicle is a modification of an electric sightseeing car. A simple model of a typical front drive car for vehicle dynamics control system is built to help the design of the controller. The road test results demonstrated that the longitudinal controller provided high tracking accuracy and strong robustness.

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