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

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.

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

Environmental Science and Pollution Research ◽

10.1007/s11356-018-3541-6 ◽

2018 ◽

Vol 26 (14) ◽

pp. 13839-13853 ◽

Cited By ~ 13

Author(s):

Xuan Zhao ◽

Jian Ma ◽

Shu Wang ◽

Yiming Ye ◽

Yan Wu ◽

...

Keyword(s):

Energy Consumption ◽

Electric Vehicle ◽

Driving Cycle

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Review on Construction Procedures of Driving Cycles

International Journal of Engineering and Management Sciences ◽

10.21791/ijems.2020.2.31. ◽

2020 ◽

Vol 5 (2) ◽

pp. 266-285

Author(s):

Levente Czégé ◽

Attila Vámosi ◽

Imre Kocsis

Keyword(s):

Energy Consumption ◽

Data Collection ◽

Dynamic Simulation ◽

Statistical Evaluation ◽

Driving Cycle ◽

Driving Cycles ◽

Construction Techniques ◽

The Future ◽

Evaluation Of Data

The goal of this paper is to give an overview of the literature of construction techniques of driving cycles. Our motivation for the overview is the future goal of constructing our own driving cycles for various types of vehicles and routes. This activity is part of a larger project focusing on determination of fuel and energy consumption by dynamic simulation of vehicles. Accordingly, the papers dealing with sample route determination, data collection and processing, driving cycle construction procedures, statistical evaluation of data are in our focus.

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Development of a New On-Board Tool for Planning Drilling Riser Operations in High Current Environments

Volume 1: Offshore Technology; Special Symposium on Ocean Measurements and Their Influence on Design ◽

10.1115/omae2007-29252 ◽

2007 ◽

Author(s):

Donogh W. Lang ◽

Kieran Murphy ◽

Michael Lane

Keyword(s):

Accurate Determination ◽

Fe Model ◽

Simulation Tool ◽

High Current ◽

Retrieval Process ◽

Drilling Rig ◽

Drilling Rigs ◽

Current Loading ◽

Fully Coupled

With drilling and exploration occurring in ever deeper waters and harsh environmental conditions, the ability to properly plan critical operations such as deployment and retrieval of the drilling riser becomes increasingly important. Particularly in deepwater high current environments, deployment and retrieval operations can be limited by the length of time it takes to deploy or retrieve the riser and the danger of the riser joints binding in the diverter housing. These limitations can have significant impact on both operations and riser integrity. Drilling contractors have devised a number of means of conducting operations in high current environments in order to increase operational up-time and mitigate the risks involved. One approach is drift-running, where the drilling rig is positioned upstream of the well at the start of the deployment operation and the rig is allowed to drift in a controlled manner to the well as the riser is deployed. This procedure effectively reduces the current loading on the riser, thereby allowing the riser to be deployed without risk of binding in the diverter housing. This paper describes an on-board simulation tool designed for use on dynamically-positioned (DP) drilling rigs that can be used to plan deployment/retrieval and drift-running operations. The tool is a development of an on-board drift-off simulator that has been in operation on-board the latest generation of DP drillships for some time. The simulator uses a fully-coupled 3D finite element (FE) model of the riser system, thereby allowing accurate determination of the riser response to current loading. The simulator computes the angle of the riser in the diverter housing throughout the deployment/retrieval process. Additionally, the simulator can compute the optimum drift speed of the vessel to minimise the riser angle. Based on the results of these simulations, the on-board tool can determine the feasibility of deploying or retrieving the riser and can compute the required vessel track for carrying out drift-running operations. The tool allows on-board personnel to plan these operations using either prevailing or forecast metocean conditions. The key features of the on-board simulator are discussed, with particular emphasis on the procedure used to compute the drift-running track for the drilling rig during riser deployment. The benefits of the system in planning deployment/retrieval operations are illustrated by means of a number of case-studies.

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

Energies ◽

10.3390/en12061122 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1122 ◽

Cited By ~ 4

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.

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Modeling of Electric Vehicle Air Conditioning System and Analysis of Energy Consumption

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.516-517.1164 ◽

2012 ◽

Vol 516-517 ◽

pp. 1164-1170 ◽

Cited By ~ 1

Author(s):

Jin Rui Nan ◽

Yao Wang ◽

Zhi Chai ◽

Jun Kui Huang

Keyword(s):

Fuzzy Logic ◽

Energy Consumption ◽

Electric Vehicle ◽

Fuzzy Logic Control ◽

Air Conditioning ◽

Control Method ◽

Air Conditioning System ◽

Logic Control ◽

Ac Motor ◽

Total Vehicle

An simulation model for pure electric vehicle air conditioning system is established in MATLAB/ Simulink environment. The critical component of air conditioning system is selected and simulated. Fuzzy logic control method is used in AC motor controlling strategy. Combined with ADVISOR, the total vehicle energy consumption and AC energy consumption are simulated and calculated. The research indicate that by using Fuzzy logic control led AC system, the vehicle’s economcial effeciency improved. Life mileage is longer than the EV with traditional AC system and a better effect of energy saving is achieved.

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Adaptive Driving Cycles of EVs for Reducing Energy Consumption

Energies ◽

10.3390/en14092592 ◽

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.

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Study by the numerical method of increasing the efficiency of falling ventilation jets for a channel compact air conditioning system

Вестник гражданских инженеров ◽

10.23968/1999-5571-2020-17-6-164-170 ◽

2020 ◽

Vol 17 (6) ◽

pp. 164-170

Author(s):

V. R. Taurit ◽

◽

I. I. Sukhanova ◽

A. N. Kolosnitsyn ◽

◽

...

Keyword(s):

Energy Consumption ◽

Numerical Method ◽

Temperature Difference ◽

Air Conditioning ◽

Initial Temperature ◽

Air Conditioning System ◽

Air Conditioning Systems ◽

Reducing Energy

The problem of significantly reducing the consumption of ventilation air in ducted air conditioning systems by optimizing the efficiency of the air distributor is solved. Unconventional falling non-isothermal jets are experimentally investigated by numerical method with the identification of the structure features and determination of the calculated coefficients m and n according to the proposed methodology. The possibilities of reducing energy consumption by increasing the initial temperature difference of the supply duct air are shown.

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