scholarly journals Predicting Electric Vehicle Consumption: A Hybrid Physical-Empirical Model

2019 ◽  
Vol 11 (1) ◽  
pp. 2
Author(s):  
Anthony Deschênes ◽  
Jonathan Gaudreault ◽  
Kim Rioux-Paradis ◽  
Chloé Redmont
Keyword(s):  
Energy Consumption ◽  
Physical Model ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Empirical Model ◽  
Real World ◽  
Energy Cost ◽  
Historical Data ◽  
Vehicle Model ◽  
Real World Data

Electric vehicles are becoming more important in our society. Using them in a fleet to minimize energy cost is, therefore, a compelling opportunity for taxi companies. It is crucial to develop accurate models that estimate energy consumption for traveling from one point to another. Consumption can be estimated using a physical model, but such a model fails to fit real-world data, especially in taxi-driving conditions. We compare different approaches to learn from historical data in order to correct/improve the physical model. Similar techniques can be used to estimate consumption for a new vehicle model, which can be useful for companies that want to add a new vehicle model for which they do not have historical data.

scholarly journals Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

Energies ◽  
2015 ◽  
Vol 8 (8) ◽  
pp. 8573-8593 ◽  
Author(s):  
Cedric De Cauwer ◽  
Joeri Van Mierlo ◽  
Thierry Coosemans
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Real World ◽  
Real World Data ◽  
World Data ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

Usage pattern analysis of Beijing private electric vehicles based on real-world data

Energy ◽  
2019 ◽  
Vol 167 ◽  
pp. 1074-1085 ◽  
Author(s):  
Xudong Zhang ◽  
Yuan Zou ◽  
Jie Fan ◽  
Hongwei Guo
Keyword(s):  
Electric Vehicles ◽  
Real World ◽  
Pattern Analysis ◽  
Usage Pattern ◽  
Real World Data ◽  
World Data

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.

Analysis of Real World Data from a Range Extended Electric Vehicle Demonstrator

2014 ◽  
Vol 4 (1) ◽  
pp. 20-33 ◽  
Author(s):  
Jonathan Hall ◽  
Hannes Marlok ◽  
Michael Bassett ◽  
Marco Warth
Keyword(s):  
Electric Vehicle ◽  
Real World ◽  
Real World Data ◽  
World Data

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.

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