Developing an electric vehicle urban driving cycle to study differences in energy consumption

2018 ◽  
Vol 26 (14) ◽  
pp. 13839-13853 ◽  
Author(s):  
Xuan Zhao ◽  
Jian Ma ◽  
Shu Wang ◽  
Yiming Ye ◽  
Yan Wu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Driving Cycle

scholarly journals Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4639 ◽  
Author(s):  
Anatole Desreveaux ◽  
Alain Bouscayrol ◽  
Elodie Castex ◽  
Rochdi Trigui ◽  
Eric Hittinger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Experimental Measurement ◽  
Air Conditioning ◽  
Annual Variation ◽  
Accurate Determination ◽  
Driving Cycle ◽  
Simulation Tool ◽  
Real Vehicle

The energy consumption of an electric vehicle is primarily due to the traction subsystem and the comfort subsystem. For a regular trip, the traction energy can be relatively constant but the comfort energy has variation depending on seasonal temperatures. In order to plan the annual charging operation of an eco-campus, a simulation tool is developed for an accurate determination of the consumption of an electric vehicle throughout year. The developed model has been validated by comparison with experimental measurement of a real vehicle on a real driving cycle. Different commuting trips are analyzed over a complete year. For the considered city in France (Lille), the comfort energy consumption has an overconsumption up to 33% in winter due to heating, and only 15% in summer due to air conditioning. The urban commuting driving cycle is more affected by the comfort subsystem than extra-urban trips.

scholarly journals Torque Optimal Allocation Strategy of All-Wheel Drive Electric Vehicle Based on Difference of Efficiency Characteristics between Axis Motors

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1122 ◽  
Author(s):  
Xiaogang Wu ◽  
Dianyu Zheng ◽  
Tianze Wang ◽  
Jiuyu Du
Keyword(s):  
Energy Consumption ◽  
Power System ◽  
Electric Vehicle ◽  
Driving Cycle ◽  
Drive Power ◽  
Distribution Method ◽  
Torque Distribution ◽  
Wheel Drive ◽  
Average Distribution ◽  
The Difference

All-wheel drive is an important technical direction for the future development of pure electric vehicles. The difference in the efficiency distribution of the shaft motor caused by the optimal load matching and motor manufacturing process, the traditional torque average distribution strategy is not applicable to the torque distribution of the all-wheel drive power system. Aiming at the above problems, this paper takes the energy efficiency of power system as the optimization goal, proposes a dynamic allocation method to realize the torque distribution of electric vehicle all-wheel drive power system, and analyzes and verifies the adaptability of this optimization algorithm in different urban passenger vehicle working cycles. The simulation results show that, compared with the torque average distribution method, the proposed method can effectively solve the problem that the difference of the efficiency distribution of the two shaft motors in the power system affects the energy consumption of the power system. The energy consumption rate of the proposed method is reduced by 5.96% and 5.69%, respectively, compared with the average distribution method under the China urban passenger driving cycle and the Harbin urban passenger driving cycle.

scholarly journals Adaptive Driving Cycles of EVs for Reducing Energy Consumption

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2592
Author(s):  
Iwona Komorska ◽  
Andrzej Puchalski ◽  
Andrzej Niewczas ◽  
Marcin Ślęzak ◽  
Tomasz Szczepański
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Gaussian Process Regression ◽  
Road Transport ◽  
Driving Cycle ◽  
Virtual Design ◽  
Driving Cycles ◽  
Drive Systems

A driving cycle is a time series of a vehicle’s speed, reflecting its movement in real road conditions. In addition to certification and comparative research, driving cycles are used in the virtual design of drive systems and embedded control algorithms, traffic management and intelligent road transport (traffic engineering). This study aimed to develop an adaptive driving cycle for a known route to optimize the energy consumption of an electric vehicle and improve the driving range. A novel distance-based adaptive driving cycle method was developed. The proposed algorithm uses the segmentation and iterative synthesis procedures of Markov chains. Energy consumption during driving is monitored on an ongoing basis using Gaussian process regression, and speed and acceleration are corrected adaptively to maintain the planned energy consumption. This paper presents the results of studies of simulated driving cycles and the performance of the algorithm when applied to the real recorded driving cycles of an electric vehicle.

scholarly journals Research on Construction Method of Urban Driving Cycle of Pure Electric Vehicle

2021 ◽  
Vol 252 ◽  
pp. 02064
Author(s):  
Xiao Li ◽  
Zhifei Pang ◽  
Hongxue Zhao
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Driving Cycle ◽  
Vehicle Performance ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Vehicle Test ◽  
Acquisition Method

The driving cycle of the vehicle is taken as the basis of the vehicle test, which plays an important role in improving vehicle performance and reducing energy consumption. Traditional fuel vehicles have been studied more in the current stage. Test conditions specifically for pure electric vehicles have been less studied. The data acquisition method of pure electric vehicle is studied and used to collect driving data. The driving cycle was established through the extraction and analysis of characteristic parameters. The research results can lay a foundation for the research of driving system optimization and energy consumption reduction of pure electric vehicles.

Analysis of Energy Consumption in an Electric Vehicle through Virtual Reality Set-Up

2020 ◽  
Author(s):  
Marika Lamanuzzi ◽  
Jacopo Andrea Di Antonio ◽  
Federica Foiadelli ◽  
Michela Longo ◽  
Andrea Labombarda ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Set Up

scholarly journals Consumption Evaluation of Energy Consumption and Emissions of BAS KITe in Kuala Terengganu from the Development of Its Driving Cycle

2020 ◽  
Vol 1532 ◽  
pp. 012018
Author(s):  
I.N. Anida ◽  
J.S. Norbakyah ◽  
M. Zulfadli ◽  
M.H. Norainiza ◽  
A.R. Salisa
Keyword(s):  
Energy Consumption ◽  
Driving Cycle

Powertrain Matching Based on Driving Cycle for Fuel Cell Hybrid Electric Vehicle

2013 ◽  
Vol 288 ◽  
pp. 142-147 ◽  
Author(s):  
Shang An Gao ◽  
Xi Ming Wang ◽  
Hong Wen He ◽  
Hong Qiang Guo ◽  
Heng Lu Tang
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Cell Hybrid ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Driving Cycle ◽  
Power Performance ◽  
Matching Method ◽  
Hybrid Electric ◽  
Fuel Cell Hybrid

Fuel cell hybrid electric vehicle (FCHEV) is one of the most efficient technologies to solve the problems of the energy shortage and the air pollution caused by the internal-combustion engine vehicles, and its performance strongly depends on the powertrains’ matching and its energy control strategy. The theoretic matching method only based on the theoretical equation of kinetic equilibrium, which is a traditional method, could not take fully use of the advantages of FCHEV under a certain driving cycle because it doesn’t consider the target driving cycle. In order to match the powertrain that operates more efficiently under the target driving cycle, the matching method based on driving cycle is studied. The powertrain of a fuel cell hybrid electric bus (FCHEB) is matched, modeled and simulated on the AVL CRUISE. The simulation results show that the FCHEB has remarkable power performance and fuel economy.

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