scholarly journals The increase of electric vehicle usage in Norway—incentives and adverse effects

Author(s):  
Marie Aarestrup Aasness ◽  
James Odeck
2021 ◽  
Vol 11 (22) ◽  
pp. 10962
Author(s):  
Theron Smith ◽  
Joseph Garcia ◽  
Gregory Washington

This paper presents a plug-in electric vehicle (PEV) charging control algorithm, Adjustable Real-Time Valley Filling (ARVF), to improve PEV charging and minimize adverse effects from uncontrolled PEV charging on the grid. ARVF operates in real time, adjusts to sudden deviations between forecasted and actual baseloads, and uses fuzzy logic to deliver variable charging rates between 1.9 and 7.2 kW. Fuzzy logic is selected for this application because it can optimize nonlinear systems, operate in real time, scale efficiently, and be computationally fast, making ARVF a robust algorithm for real-world applications. In addition, this study proves that when the forecasted and actual baseload vary by more than 20%, its real-time capability is more advantageous than algorithms that use optimization techniques on predicted baseload data.


2022 ◽  
Vol 177 ◽  
pp. 105965
Author(s):  
Shahla Asadi ◽  
Mehrbakhsh Nilashi ◽  
Mohammad Iranmanesh ◽  
Morteza Ghobakhloo ◽  
Sarminah Samad ◽  
...  

2021 ◽  
Vol 252 ◽  
pp. 03062
Author(s):  
Xinjian Yuan

Hydrogen leakage and emission will bring adverse effects to the environment and human health. When it enters a certain concentration range, it will bring the potential explosion. Hydrogen emissions from fuel cell vehicles can be divided into two sources: normal operation of the system and leakage under abnormal circumstances. This paper mainly uses the flowmeter method to measure the hydrogen emission from fuel cell electric vehicle(FCEV). The different emission characteristics of different types of FCEV under idle and steady cycle conditions were analyzed. The hydrogen emission levels of different types of FCEV under idle and cycle conditions were verified by analyzing and processing the experimental data through a certain amount of hydrogen emission tests of FCEV.


Author(s):  
Yew-Ngin Sang ◽  
Hussain Ali Bekhet

The rationale of this study is to investigate the factors influencing electric vehicle usage intention in Malaysia. Empirical study using survey questionnaires are distributed to a judgment sampling of 500 drivers in Selangor and Federal Territories (Kuala Lumpur and Putrajaya). A research model based on the Theory of Planned Behavior was proposed as the underlying framework to realize the objective of the study. Linear regression-stepwise technique was used to test the research hypotheses. The results finding indicated that the electric vehicle usage intention in Malaysia is very much influenced by Environmental Concern, Consumer Knowledge, Psychological Benefits and Demographics. Hence, this paper provides valuable information for automotive players planning to market electric vehicles in Malaysia. It offers insights for formulation of marketing strategies that will address the real wants and needs of their future clients based on the identified factors in this study. Meanwhile, policy makers should formulate appropriate intervention and policies to encourage the growth of electric vehicles usage in Malaysia as a strategy to increase energy efficiency, reduce carbon emissions and minimize the reliance on fossil fuel in the automotive sector. Future study is suggested to be done to explore more factors that might influence public acceptance and to improve characterization of respondents by including more cities in Malaysia.Keywords: Public Acceptance; Usage Intention; Electric Vehicles; Malaysia.


2005 ◽  
Vol 3 (1) ◽  
pp. 657-663 ◽  
Author(s):  
Matthieu Dubarry ◽  
Morgan Bonnet ◽  
Benoit Dailliez ◽  
Alea Teeters ◽  
Bor Yann Liaw

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