Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver

Due to depletion and price hike of fossil fuel, most of the developing and developed countries are shifting to Electric vehicles. The major problem faced by the electric vehicle drivers is the range anxiety for battery charging. For predicting the battery range of electric vehicle, a systematic simu...

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Veröffentlicht in:Energy (Oxford) 2022-06, Vol.249, p.123657, Article 123657
Hauptverfasser: Hariharan, C., Gunadevan, D., Arun Prakash, S., Latha, K., Antony Aroul Raj, V., Velraj, R.
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container_start_page 123657
container_title Energy (Oxford)
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creator Hariharan, C.
Gunadevan, D.
Arun Prakash, S.
Latha, K.
Antony Aroul Raj, V.
Velraj, R.
description Due to depletion and price hike of fossil fuel, most of the developing and developed countries are shifting to Electric vehicles. The major problem faced by the electric vehicle drivers is the range anxiety for battery charging. For predicting the battery range of electric vehicle, a systematic simulation of both traction and HVAC power consumption is required. In this work, a simulation model has been created in MATLAB to calculate the energy required for traction and HVAC system of the vehicle for a selected source and destination by considering heat entry, orientation and location of the electric vehicle. By using transient simulation model, electrical energy requirement of the vehicle for the trip is calculated and quantified for the given variations of drving cycle, orientation, altitude, ambient temperature along the trip. The simulation is validated by running the electric vehicle in different trips with and without air-conditioning. The average error between the measured and simulated value is less than 2.59% and the average deviation in the range estimation for the different trips considered is 4.09%. This simulated model will be useful for vehicle drivers to forecast the range and decide about battery charging strategy of electric vehicle. [Display omitted] •This model forecasts the energy consumption of Electric Vehicle for overcoming the range anxiety of the driver.•The model accuracy is improved by considering the dynamic variations of solar radiation load during the trip.•The result obtained from simulation is validated with real time data for the complete trip.•The energy requirement of the vehicle before the journey, can be estimated through this model.
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The major problem faced by the electric vehicle drivers is the range anxiety for battery charging. For predicting the battery range of electric vehicle, a systematic simulation of both traction and HVAC power consumption is required. In this work, a simulation model has been created in MATLAB to calculate the energy required for traction and HVAC system of the vehicle for a selected source and destination by considering heat entry, orientation and location of the electric vehicle. By using transient simulation model, electrical energy requirement of the vehicle for the trip is calculated and quantified for the given variations of drving cycle, orientation, altitude, ambient temperature along the trip. The simulation is validated by running the electric vehicle in different trips with and without air-conditioning. The average error between the measured and simulated value is less than 2.59% and the average deviation in the range estimation for the different trips considered is 4.09%. This simulated model will be useful for vehicle drivers to forecast the range and decide about battery charging strategy of electric vehicle. [Display omitted] •This model forecasts the energy consumption of Electric Vehicle for overcoming the range anxiety of the driver.•The model accuracy is improved by considering the dynamic variations of solar radiation load during the trip.•The result obtained from simulation is validated with real time data for the complete trip.•The energy requirement of the vehicle before the journey, can be estimated through this model.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2022.123657</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Air conditioning ; Ambient temperature ; Anxiety ; Battery chargers ; Cabin cooling ; Depletion ; Developed countries ; Electric vehicle charging ; Electric vehicles ; Energy consumption ; Error analysis ; Fossil fuels ; HVAC ; HVAC equipment ; Power consumption ; Simulation ; Solar heat radiation ; Traction ; Traction energy</subject><ispartof>Energy (Oxford), 2022-06, Vol.249, p.123657, Article 123657</ispartof><rights>2022 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jun 15, 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-c86239ebdf89df80e10366f112f979cdc6f519a40ee6ad79f81e2d7c2f5418963</citedby><cites>FETCH-LOGICAL-c334t-c86239ebdf89df80e10366f112f979cdc6f519a40ee6ad79f81e2d7c2f5418963</cites><orcidid>0000-0001-9591-4494</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2022.123657$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Hariharan, C.</creatorcontrib><creatorcontrib>Gunadevan, D.</creatorcontrib><creatorcontrib>Arun Prakash, S.</creatorcontrib><creatorcontrib>Latha, K.</creatorcontrib><creatorcontrib>Antony Aroul Raj, V.</creatorcontrib><creatorcontrib>Velraj, R.</creatorcontrib><title>Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver</title><title>Energy (Oxford)</title><description>Due to depletion and price hike of fossil fuel, most of the developing and developed countries are shifting to Electric vehicles. 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This simulated model will be useful for vehicle drivers to forecast the range and decide about battery charging strategy of electric vehicle. 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source ScienceDirect Journals (5 years ago - present)
subjects Air conditioning
Ambient temperature
Anxiety
Battery chargers
Cabin cooling
Depletion
Developed countries
Electric vehicle charging
Electric vehicles
Energy consumption
Error analysis
Fossil fuels
HVAC
HVAC equipment
Power consumption
Simulation
Solar heat radiation
Traction
Traction energy
title Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver
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