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Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature = = توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature =/
Reminder of title:	توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪
Author:	Salamah, Darweesh Ehssan A.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	125 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
Subject:	Operations research. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28646819
ISBN:	9798535583440

Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature = = توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪
Salamah, Darweesh Ehssan A.

Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature =توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪ - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 125 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--Mississippi State University, 2021.

This item must not be sold to any third party vendors.

Electric cars are projected to become the vehicles of the future. A major barrier for their expansion is range anxiety stemming from the limited range a typical EV can travel. EV batteries' performance and capacity are affected by many factors. In particular, the decrease in ambient temperature below a certain threshold will adversely affect the battery's efficiency. This research develops deterministic and two-stage stochastic program model for charging stations' optimal location to facilitate the routing decisions of delivery services that use EVs while considering the variability inherent in climate and customer demand. To evaluate the proposed formulation and solution approach's performance, Fargo city in North Dakota is selected as a tested.For the first chapter, we formulated this problem as a mixed-integer linear programming model that captures the realistic charging behavior of the DCFC's in association with the ambient temperature and their subsequent impact on the EV charging station location and routing decisions. Two innovative heuristics are proposed to solve this challenging model in a realistic test setting, namely, the two-phase Tabu Search-modified Clarke and Wright algorithm and the Sweep-based Iterative Greedy Adaptive Large Neighborhood algorithm. The results clearly indicate that the EV DCFC charging station location decisions are highly sensitive to the ambient temperature, the charging time, and the initial state-of-charge. The results provide numerous managerial insights for decision-makers to efficiently design and manage the DCFC EV logistic network for cities that suffer from high-temperature fluctuations.For the second chapter, a novel solution approach based on the progressive hedging algorithm is presented to solve the resulting mathematical model and to provide high-quality solutions within reasonable running times for problems with many scenarios. We observe that the location-routing decisions are susceptible to the EV logisticys underlying climate, signifying that decision-makers of the DCFC EV logistic network for cities that suffer from high-temperature fluctuations would not overlook the effect of climate to design and manage the respective logistic network efficiently.

ISBN: 9798535583440Subjects--Topical Terms:

547123
Operations research.
Subjects--Index Terms:

Electric cars

Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature = = توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪
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245 1 0 $a Electric Vehicles Fast Charger Location-Routing Problem Under Ambient Temperature = $b توجيه لموقع محطات الشحن السريع للسيارات الكهربائية تحت تأثير درجة الحرارة المحيطة.‪‪‪
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 125 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 $a Advisor: Marufuzzaman, Mohammad.
502 $a Thesis (Ph.D.)--Mississippi State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Electric cars are projected to become the vehicles of the future. A major barrier for their expansion is range anxiety stemming from the limited range a typical EV can travel. EV batteries' performance and capacity are affected by many factors. In particular, the decrease in ambient temperature below a certain threshold will adversely affect the battery's efficiency. This research develops deterministic and two-stage stochastic program model for charging stations' optimal location to facilitate the routing decisions of delivery services that use EVs while considering the variability inherent in climate and customer demand. To evaluate the proposed formulation and solution approach's performance, Fargo city in North Dakota is selected as a tested.For the first chapter, we formulated this problem as a mixed-integer linear programming model that captures the realistic charging behavior of the DCFC's in association with the ambient temperature and their subsequent impact on the EV charging station location and routing decisions. Two innovative heuristics are proposed to solve this challenging model in a realistic test setting, namely, the two-phase Tabu Search-modified Clarke and Wright algorithm and the Sweep-based Iterative Greedy Adaptive Large Neighborhood algorithm. The results clearly indicate that the EV DCFC charging station location decisions are highly sensitive to the ambient temperature, the charging time, and the initial state-of-charge. The results provide numerous managerial insights for decision-makers to efficiently design and manage the DCFC EV logistic network for cities that suffer from high-temperature fluctuations.For the second chapter, a novel solution approach based on the progressive hedging algorithm is presented to solve the resulting mathematical model and to provide high-quality solutions within reasonable running times for problems with many scenarios. We observe that the location-routing decisions are susceptible to the EV logisticys underlying climate, signifying that decision-makers of the DCFC EV logistic network for cities that suffer from high-temperature fluctuations would not overlook the effect of climate to design and manage the respective logistic network efficiently.
520 $a من المتوقع أن تصبح السيارات الكهربائية مركبات المستقبل. من العوائق الرئيسية أمام توسعها القلق من النطاق الناجم عن النطاق المحدود الذي يمكن أن تنتقل إليه المركبة الكهربائية النموذجية. يتأثر أداء بطاريات السيارات الكهربائية وسعتها بعدة عوامل. على وجه الخصوص ، سيؤثر انخفاض درجة الحرارة المحيطة إلى ما دون عتبة معينة سلبًا على كفاءة البطارية. يطور هذا البحث نموذج برنامج عشوائي مؤلف من مرحلتين لتحديد الموقع الأمثل لمحطات الشحن لتسهيل قرارات التوجيه لخدمات التوصيل التي تستخدم المركبات الكهربائية مع مراعاة التباين المتأصل في المناخ وطلب العملاء. لتقييم أداء نهج الصياغة والحلول المقترحة ، تم اختيار مدينة فارجو في نورث داكوتا كمختبرة.بالنسبة للفصل الأول ، قمنا بصياغة هذه المشكلة كنموذج برمجة خطي مختلط العدد الذي يلتقط سلوك الشحن الواقعي لـ DCFC بالاقتران مع درجة الحرارة المحيطة وتأثيرها اللاحق على موقع محطة شحن EV وقرارات التوجيه. تم اقتراح طريقتين مبتكرتين لحل هذا النموذج الصعب في إعداد اختبار واقعي ، وهما خوارزمية كلارك ورايت المعدلة من خلال البحث في Tabu وخوارزمية الجشع التكراري المتكيف الكبير المستندة إلى الاجتياح. تشير النتائج بوضوح إلى أن قرارات موقع محطة شحن EV DCFC حساسة للغاية لدرجة الحرارة المحيطة ووقت الشحن وحالة الشحن الأولية. توفر النتائج رؤى إدارية عديدة لصانعي القرار لتصميم وإدارة الشبكة اللوجستية DCFC EV بكفاءة للمدن التي تعاني من تقلبات درجات الحرارة العالية.بالنسبة للفصل الثاني ، تم تقديم نهج حل جديد يعتمد على خوارزمية التحوط التدريجي لحل النموذج الرياضي الناتج ولتقديم حلول عالية الجودة خلال أوقات تشغيل معقولة للمشكلات التي تتضمن العديد من السيناريوهات. نلاحظ أن قرارات توجيه الموقع عرضة للمناخ الأساسي لوجستية المركبات الكهربائية ، مما يدل على أن صانعي القرار في الشبكة اللوجستية DCFC EV للمدن التي تعاني من تقلبات درجات الحرارة العالية لن يتجاهلوا تأثير المناخ لتصميم وإدارة كل منهما شبكة لوجستية بكفاءة.‪‪‪
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