Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles
The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation. A set of parameters are considered in order to...
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Stefan cel Mare University of Suceava
2016-02-01
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Online Access: | http://dx.doi.org/10.4316/AECE.2016.01007 |
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doaj-22352ab9e13e4aca99cc5519da87121f2020-11-25T02:47:15ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002016-02-01161475210.4316/AECE.2016.01007Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric VehiclesNICOLAICA, M.-O.TARNICERIU, D.The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation. A set of parameters are considered in order to assess the system performance. The benefit is given by the comparative overview obtained after the completed analysis. The effectiveness of the analysis method is confirmed by a sequence of simulation results combined in several case studies. The impulse of the research is given by the fact that the automotive market is focusing on wider simulation techniques and better control strategies that lead to more efficient vehicles. Applying the proposed method during design would improve the battery management and controls strategy. The advantage of this method is that the system behavior with regards to energy efficiency can be evaluated from an early concept phase. The results contribute to the actual necessity of driving more efficient and more environmental friendly vehicles.http://dx.doi.org/10.4316/AECE.2016.01007batteriesdata analysisenergy efficiencyelectric vehiclesmodeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
NICOLAICA, M.-O. TARNICERIU, D. |
spellingShingle |
NICOLAICA, M.-O. TARNICERIU, D. Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles Advances in Electrical and Computer Engineering batteries data analysis energy efficiency electric vehicles modeling |
author_facet |
NICOLAICA, M.-O. TARNICERIU, D. |
author_sort |
NICOLAICA, M.-O. |
title |
Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles |
title_short |
Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles |
title_full |
Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles |
title_fullStr |
Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles |
title_full_unstemmed |
Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles |
title_sort |
analysis platform for energy efficiency enhancement in hybrid and full electric vehicles |
publisher |
Stefan cel Mare University of Suceava |
series |
Advances in Electrical and Computer Engineering |
issn |
1582-7445 1844-7600 |
publishDate |
2016-02-01 |
description |
The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures
with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation.
A set of parameters are considered in order to assess the system performance. The benefit is given by the comparative overview
obtained after the completed analysis. The effectiveness of the analysis method is confirmed by a sequence of simulation results
combined in several case studies. The impulse of the research is given by the fact that the automotive market is focusing on
wider simulation techniques and better control strategies that lead to more efficient vehicles. Applying the proposed method
during design would improve the battery management and controls strategy. The advantage of this method is that the system
behavior with regards to energy efficiency can be evaluated from an early concept phase. The results contribute to the actual
necessity of driving more efficient and more environmental friendly vehicles. |
topic |
batteries data analysis energy efficiency electric vehicles modeling |
url |
http://dx.doi.org/10.4316/AECE.2016.01007 |
work_keys_str_mv |
AT nicolaicamo analysisplatformforenergyefficiencyenhancementinhybridandfullelectricvehicles AT tarniceriud analysisplatformforenergyefficiencyenhancementinhybridandfullelectricvehicles |
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1724753897630728192 |