Green technologies have recently gained interest for many reasons. Economic factors in conjunction with an increased social desire to reduce our environmental impact on the Earth have created a desire for more environmentally friendly technologies, especially automotive technologies such as the electric car. While public interest in electric vehicles is growing, there are a number of challenges which must first be addressed before their widespread adoption is possible. Cost, longevity, and range are all important factors which need to be addressed for electric vehicles to compete directly with their gasoline counterparts. By more efficiently using the energy stored within the battery pack, some of these issues can be addressed. This study focuses on the thermal management systems for electric vehicles and the application of design optimization in the early design phase considering the pack in its entirety. A liquid cooling system is considered for a current generation electric vehicle, with time dependent heat generation rates within the battery cells based on vehicle operating conditions. Identifying the most efficient distribution of cooling within the battery pack to achieve uniform temperature is the objective of optimization. Simulations were performed on a complete battery pack model, featuring 288 battery cells and 144 cooling plates. Anisotropic material properties and non-uniform heat generation rates are included as well as energy demands based on a representative vehicle drive cycle. Results have shown that through design optimization, the standard deviation of temperature within the battery cells can be improved by as much as 80% when compared to a conventional design. The standard deviation of temperature saw improvement from an average of 0.2828 K for a conventional design to 0.05318 K after optimization. These results are specific to the given battery pack construction, battery cell, and cooling type. The method of modeling and analysis can be extended to many battery geometries and cooling technologies in the future. Application of design optimization to the problem of thermal iii management system design can yield significant improvements to battery pack thermal management, and thereby incrementally improve the efficiency of electrified vehicles. / Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2013-10-30 10:49:28.639

To reduce the negative impacts of climate change, electric vehicles (EVs) have emerged as a viable solution in the mobility sector, leading to an increase in battery production and use. For electric vehicle batteries (EVBs) to be sustainable, the total impact of the supply and value chain has to be as low as possible, making the implementation of circular economy (CE) principles a key element in the transition. There is currently limited research regarding circularity implementation in the value chains of EVBs, and especially in developing countries. This thesis explores the key stakeholders in the EVB ecosystem in Nairobi, Kenya, and identifies barriers and enablers for CE implementation. The objective of the thesis is to analyze, based on literature and empirical findings, what activities are deemed necessary to facilitate a circular value chain (CVC) for EVBs in Nairobi. To enable a realistic and thus relatively comprehensive analysis, a case study was conducted involving a literature study, interview study, document review, and workshop. Findings indicate that the Nairobi EVB ecosystem is largely unexplored but that currently, the most important stakeholders can be seen as EV manufacturers and consumers, as well as waste management actors, and second life actors. The key enablers of the ecosystem are government, government agencies, energy providers and suppliers, as well as importers and distributors. The findings indicate the possibility of new essential stakeholders in the future including battery original equipment manufacturers (OEMs), new EV manufacturers and original equipment manufacturers (OEMs), public transport companies, and second life actors. Potential ecosystem enablers include financial actors, research institutions, and insurance companies. Identified barriers and enablers of CE implementation can be divided into five areas, namely technology and infrastructure, supply chain and management, economic, policy and regulation, and social. The findings indicate that barriers identified within the different areas are interconnected, requiring coinciding strategies to be solved and making it difficult to rate them in terms of importance. The findings further suggest that for a CVC for EVBs to be initiated and supported by stakeholders, actors within the ecosystem have to adopt CE strategies to create a closed loop supply and value chain. Battery design needs to enable CE strategies, such as reuse, repair, refurbish, remanufacture, repurpose, and recycle. Furthermore, innovative business models that extend the life cycle of products need to be developed to facilitate the transition to CE. This requires collaboration between the stakeholders in the ecosystem, as well as working with the barriers and enablers identified. To create favorable and enabling system conditions, there is a need for policies and regulations to facilitate the implementation of CE strategies at end-of-life (EoL).

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L’apparition massive des véhicules électriques (VEs) sur les marchés peut avoir un impact important sur le fonctionnement des réseaux d’électricité actuels qui devront ajuster leur fonctionnement à la nouvelle demande massive d'électricité provenant des VEs. Par contre, les VEs peuvent aussi être vus comme une nouvelle opportunité dans le futur marché d’électricité. En effet, une décharge/recharge intelligente peut permettre aux VEs d’être un support de stockage d’électricité important, valable et permanent dont la capacité croit en fonction du nombre des VEs. Ce projet a comme objectifs de : (1) proposer un schéma d’interaction V2G intégrant des techniques permettant de : (a) adapter le fonctionnement de la grille aux contraintes temporelles et spatiales relatives au processus de recharge des VEs dans un milieu résidentiel. (b) optimiser les opérations de chargement/déchargement entre les VEs et la grille dans les deux sens. (2) Proposer de nouveaux schémas de communication sans fil, entre les VEs et la grille intelligente loin des bornes de recharge, qui soient basés sur les standards de communications véhiculaires (VANET) ainsi que sur d’autres standards de communication à grande échelle. On introduira des techniques d’accès à la grille intelligente pour négocier le coût de recharge/décharge des batteries et aussi pour planifier la motivation du consommateur afin de favoriser la stabilité de la grille / In the next years, electric vehicles (EVs) will make their appearance on the market. This even will have significant impact on the operation of the existing electricity networks which have to be updated to reach the new massive electricity demand. Moreover, EVs can also be seen as a new opportunity in the future electricity market. Indeed, a smart EV discharge / charge process can be enable a large power, valuable, and permanent storage media. The project's objectives are to: (1) propose a scheme integrating V2G interaction techniques: (a) adapt the grid functionality to the temporal and spatial constraints to the EV charging process in a residential setting. We seek to satisfy different power demands of EVs connected to the mains without stressing too smart grid, (b) optimizing the loading / unloading between EVs and the grid in both directions. (2) To propose new patterns of wireless communication between EVs and smart grid away from the charging stations, which are based on the standards of vehicle communications (VANET), as well as other communication standards on a large scale. Access to smart grid technologies will be introduced to negotiate the cost of charge / discharge, the waiting time of service, locations and also to plan consumer motivation to promote the grid stability

The increasing adoption of electric vehicles (EVs) brings forth the challenge of effectively managing the second-life and end-of-life cycles for lithium-ion batteries. Augmented Reality (AR) offers a promising solution to sustainably and efficiently dismantle these batteries. This thesis explores the development and evaluation of an AR mobile app specifically designed for guiding the dismantling process of a Volkswagen (VW) ID.4 lithium-ion EV battery. Subsequently, a detailed end-to-end development pipeline is presented, spanning from identifying the correct dismantling steps and building complete 3D reconstructions of the ID.4 battery using photogrammetry and CAD or 3D modelling, to creating an AR mobile application in Unity with the help of Vuforia allowing users to visualize the disassembly steps through an interactive guide. Tracking recognition testing results for each model indicates that simpler models exhibit a higher chance of producing false positives, while composite models have a greater minimum recognition distance compared to the faithfulto-real-life one-piece counterparts. User testing is conducted using a hybrid approach, combining a Figma prototype with video recordings to replicate the app’s behavior in a safe environment, without the physical presence of a high voltage battery. Results show positive user feedback, demonstrating the app’s usability and effectiveness in guiding the dismantling process. Furthermore, the thesis evaluates the app’s performance through the System Usability Scale (SUS) and the Technology Acceptance Model. The obtained SUS score of 80 (Grade B - Good) indicates favorable usability, while the Technology Acceptance Model provides insights into potential users’ perceptions. / Den ökande användningen av elektriska fordon (EV) frambringar utmaningen att effektivt hantera andra livscykler och slutlivscykler för litiumjonbatterier. För att hållbart och effektivt demontera dessa batterier erbjuder Augmented Reality (AR) en lovande lösning. Denna uppsats utforskar utvecklingen och utvärderingen av en AR-mobilapplikation som specifikt är utformad för att guida demonteringsprocessen av ett Volkswagen (VW) ID.4 litiumjon EVbatteri. Därefter presenteras en detaljerad genomgående utvecklingsprocess, som sträcker sig från att identifiera korrekta demonteringssteg och skapa kompletta 3D-rekonstruktioner av ID.4-batteriet med hjälp av fotogrammetri och CAD eller 3D-modellering, till att skapa en AR-mobilapplikation i Unity med hjälp av Vuforia, som tillåter användare att visualisera demonteringsstegen genom en interaktiv guide. Resultaten bättre identifieringstester för varje modell indikerar att enklare modeller har större chans att producera falska positiva resultat, medan komplexa modeller har större minsta igenkänningsavstånd jämfört med helhetsmodeller som är trogna verkligheten. Användartester genomförs med hjälp av en hybridmetod som kombinerar en Figma-prototyp med videoinspelningar för att återskapa appens beteende i en säker miljö, utan att behöva ha ett högspänningsbatteri fysiskt närvarande. Resultaten visar positivt användarfeedback och bekräftar appens användarvänlighet och effektivitet vid guidning av demonteringsprocessen. Uppsatsen utvärderar också appens prestanda genom System Usability Scale (SUS) och Technology Acceptance Model. Den erhållna SUS-poängen på 80 (Betyg B - Bra) indikerar en god användbarhet, medan Technology Acceptance Model ger insikter om potentiella användares uppfattningar.