Intelligent Data-driven Optimisation of Charging Infrastructure
Publications
21 Results
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Fully charged
1 December 2018 | Centre for Applied Research TechnologyThis study is the first to systematically and quantitatively explore the factors that determine the length of charging sessions at public charging stations for electric vehicles in urban areas, with particular ...
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Assessment of public charging infrastructure push and pull rollout strategies
1 October 2018 | IDO-LaadOver recent years, numbers of electric vehicles (EVs) have shown a strong growth and sales are projected to continue to grow. For facilitating charging possibilities for EVs typically two rollout strategies have been ...
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Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments
1 July 2018 | IDO-LaadPolicy makers are looking for effective ways to promote the adoption of electric vehicles (EVs). Among the options is the roll-out and management of charging infrastructure to meet the EV drivers’ refuelling ...
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Estimating the charging profile of individual charge sessions of Electric Vehicles in the Netherlands
22 June 2018 | IDO-LaadThe mass adoption of Electric Vehicles (EVs) might raise pressure on the power system, especially during peak hours. Therefore, there is a need for delayed charging. However, to optimize the charging system, the ...
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Ausbau der Ladeinfrastruktur in 4 Niederländischen Groβstädten
1 January 2018 | IDO-LaadResearch outcomes with regard to charging behaviour and simulation of charging behaviour based on charging data of the public charging infrastructure in Amsterdam, Rotterdam, The Hague, Utrecht and the Metropolitan ...
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Modes of fast charging
1 January 2018 | IDO-LaadFast charging is usually seen as a means to facilitate long distance driving for electric vehicles and roll-out therefore often happens with corridors in mind. Due to limited charging speeds, EV drivers usually tend ...
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Charging station hogging
9 October 2017 | IDO-LaadWith a growing number of electric vehicles (EVs) on the road and charging infrastructure investments lagging, occupation of installed charging stations is growing and available charging points for EV drivers are ...
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Public charging infrastructure use in the Netherlands: A rollout-strategy assessment
27 July 2017 | IDO-LaadThis paper provides a detailed analysis of the use of these ‘demand-driven’ and ‘strategic’ public charging points and the implications of these rollout-strategies by analysing charging ...
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Estimating the charging profile of individual charge sessions of electric vehicles in the Netherlands
1 January 2017 | IDO-LaadThe mass adoption of Electric Vehicles (EVs) might raise pressure on the power system, especially during peak hours. Therefore, there is a need for delayed charging. However, to optimize the charging system, the ...
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Performance of EV Charging Infrastructure
1 January 2017 | IDO-LaadDevelopers of charging infrastructure, be it public or private parties, are highly dependent on accurate utilization data in order to make informed decisions where and when to expand charging points. The Amsterdam ...
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Managing parking pressure concerns related to charging stations for electric vehicles
1 January 2017 | IDO-LaadWith the rise of the number of electric vehicles, the installment of public charging infrastructure is becoming more prominent. In urban areas in which EV users rely on on-street parking facilities, the demand for ...
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Charging free floating shared cars in metropolitan areas
1 January 2017 | IDO-LaadThis paper analyses the effect of two new developments: electrification and ‘free floating’ car sharing and their impact on public space. Contrary to station based shared cars, free floating cars do not ...
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Applying data science on charging infrastructure
13 April 2016 | IDO-LaadLector Robert van den Hoed presented findings from the data analysis of nearly 2 million sessions from public charge stations in 5 different regions in the Netherlands and identified some of the key differences ...
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Which factors influence the success of public charging stations of electric vehicles?
1 January 2016 | IDO-LaadThis study aims to answer the question: “Which factors influence the success of public charging stations?”. In this paper the success of public charging stations is defined as the average daily charged ...
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Benchmarking charging infrastructure utilization
1 January 2016 | IDO-LaadSince 2012 the dutch metropolitan area (the metropole region of amsterdam, the city of amsterdam, rotterdam, the hague, utrecht ) cooperate in finding the best way to stimulate electric mobility through the ...
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Prediction of necessary public charging infrastructure of electric vehicles
1 January 2016 | IDO-LaadIn this study we developed models in order to predict the need for public charging points. These models give municipalities an insight into various environmental and consumer related factors that determine the need ...
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Predicting charging infrastructure availability based on a space-time series model
1 January 2016 | IDO-LaadSince the European Union wants to reduce the oil dependence of the transportation system, the uptake of alternative vehicle technologies are stimulated in the member states. In the Netherlands, stimulation is already ...
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Key performance indicators of charging infrastructure
1 January 2016 | IDO-LaadThe Netherlands are one of the frontrunners in stimulating electric mobility in Europe when it comes to the charging infrastructure density and electric vehicle adoption. Municipalities play an instrumental role in ...
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Utilization of public charging infrastructure
1 January 2015 | IDO-LaadPresentation on the EEVC congress in Brussel in which the use of public charge infrastructure is compared in the four major cities in the Netherlands using several Key Performance Indicators.
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Unraveling user type characteristics
1 January 2015 | Centre for Applied Research TechnologyAnalysis of charging behavior of different type of users within the Amsterdam area. A definition of different type of users is deemed neccesary to forecast charging behaviour.