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Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data

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TLDR
In this article, a case study using GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.
Abstract
This paper studies electric vehicle charger location problems and analyzes the impact of public charging infrastructure deployment on increasing electric miles traveled, thus promoting battery electric vehicle (BEV) market penetration. An activity-based assessment method is proposed to evaluate BEV feasibility for the heterogeneous traveling population in the real world driving context. Genetic algorithm is applied to find (sub)optimal locations for siting public charging stations. A case study using the GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.

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Cost Projection of State of the Art Lithium-Ion Batteries for Electric Vehicles Up to 2030

TL;DR: In this paper, the authors predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery's chemical composition.
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A review of consumer preferences of and interactions with electric vehicle charging infrastructure

TL;DR: In this paper, the authors present a literature review of studies that investigate infrastructure needs to support the market introduction of plug-in electric vehicles (PEVs), focusing on literature relating to consumer preferences for charging infrastructure, and how consumers interact with and use this infrastructure.
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Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective

TL;DR: In this article, the authors employed a multi-criteria decision-making (MCDM) method to consider some subjective but important criteria for EVCS site selection to reflect the ambiguity and vagueness due to the subjective judgments of decision makers.
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Phase-change materials (PCM) for automotive applications: A review

TL;DR: An extensive review of a battery thermal management systems (BTMSs) such as phase-change materials (PCMs) in the state of art is proposed, based on previous reviews to help to update the thin number of references.
Journal ArticleDOI

Deploying public charging stations for electric vehicles on urban road networks

TL;DR: In this article, a multi-class network equilibrium flow pattern is described by a mathematical program, which is solved by an iterative procedure based on the proposed equilibrium framework, the charging station location problem is then formulated as a bi-level mathematical program and solved by a genetic-algorithm-based procedure.
References
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Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal Article

The National Academies Press

TL;DR: The National Academy of Sciences founded The National Academies Press (NAP) with the goal of publishing reports of all four national academies as mentioned in this paper, which publishes more than 200 books from the fields of science, engineering and medicine and offers more than 4000 titles in PDF on its website.
Journal ArticleDOI

Potential Impacts of Plug-in Hybrid Electric Vehicles on Regional Power Generation

TL;DR: In this article, the authors predict that the introduction of PHEVs could impact demand peaks, reduce reserve margins, and increase prices, and the type of power generation used to recharge the PHEV and associated emissions will depend upon the region and the timing of the recharge.
Journal ArticleDOI

Electric vehicles: How much range is required for a day’s driving?

TL;DR: In this article, a full year of high-resolution driving data from 484 instrumented gasoline vehicles in the US is used to analyze daily driving patterns, and from those infer the range requirements of electric vehicles (EVs).
Journal ArticleDOI

Optimal deployment of public charging stations for plug-in hybrid electric vehicles

TL;DR: In this article, the authors developed an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs.
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