Tato práce se zabývá problematikou battery packů. V první části popisuje návrh battery packu z hlediska volby baterií, jejich tvaru, velikosti, typu a konfigurace zapojení. Dále uvádí vliv těchto charakteristik na výkonnost battery packu a jeho spolehlivost. Zabývá se problematikou termálního managementu battery packů a jeho vlivu na životní cyklus baterií. V druhé části se zabývá praktickým návrhem konceptu battery packu pro Lithium-polymerové baterie. Kalorimetricky je zde zjištěno množství produkovaného tepla při vybíjení, které je poté využito v CFD simulaci chlazení článku.

Developing the greenest battery cell and establishing a European supply of batteries is the main goal for Northvolt. To achieve this, the recycling of batteries is a key enabler towards closing the loop and enabling the future of energy.When it comes to the recycling of electric vehicle battery packs, dismantling is one of of the main process steps.Given the size, weight and high voltage of the battery packs, automatic disassembly using robots is the preferred solution. The work presented in this thesis aims to develop and integrate a vision system able to identify and verify the battery pack dismantling process. To achieve this, two cameras were placed in the robot cell and the object detectors You Only Look Once (YOLO) and template matching were implemented, tested and compared. The results show that YOLO is the best object detector out of the ones implemented. The integration of the vision system with the robot controller was also tested and showed that with the results from the vision system, the robot controller can make informed decisions regarding the disassembly.

In connection to the increasing awareness of vehicles and its impact on the environment, the interest in the electric vehicle market has shown a significant growth in the recent years. According to forecasts, it is also projected to increase further in the future. These electric vehicles are driven by lithium-ion batteries with an expected service life of 5-15 years depending on different technology generations and design concepts. After the given service life, the battery has lost approximately 20 percent of its capacity and is no longer permitted to be used in its original application area again, out of safety reasons. Although the retired battery pack is not suitable for vehicles, its remaining capacity can still be utilized in other applications. Hence, the term second life has become a common subject in the automotive industry, where companies are trying to find new application areas for the retired electric vehicle battery packs. Common methods regarding second life of electric vehicle batteries are processes such as remanufacturing, repurposing and re-use. These presented second life methods are from a reverse logistics perspective. Second life alternatives enable a better sustainability and reduces the environmental impact by re-using and recycling existing materials.   In this thesis, the authors examined different second life concepts with the same prerequisite, an electric vehicle lithium-ion battery pack with an energy capacity of 20 kWh. The project has been conducted in a company that is one of the leading manufacturers in the heavy-duty industrial vehicle industry, which currently is developing their electric vehicle machines. Several different concepts have been generated and analysed to find the most applicable business model concepts from a second life perspective. The purpose has been to investigate and calculate which of these business model concepts are most feasible from an economic and a reverse logistics perspective. In order to fulfil the purpose, the following research questions have been formulated:   RQ1: Which secondary use business model concepts are feasible for battery packs of electrified machines? RQ2: Out of the above identified concepts, which business model concept is economically feasible and how can its reverse logistic be composed?   In order to answer the research questions, the authors have analysed different cost aspects and forecasts based on existing research and case company data. This is performed to develop the most profitable concepts based on the collected data, where the generated ideas concluded in three final concepts. For these concepts, individual business model canvases were created to illustrate all important parts of the concepts. The thesis resulted in an economic analysis of the three concepts, visualizing function diagrams and comparing them to each other, to identify the most applicable concept for the case company. The remanufacturing concept proved to be the most applicable one, where its associated reverse logistics and recycling process were investigated and determined. In conclusion the thesis can firstly contribute to future research by the created process map that companies can use and apply in their second life process, correlated to the managerial implications. Secondly, the remanufacturing concept can be a potential future investment for the case company, considering all valuable factors that have been analysed throughout the thesis.     Keywords: Battery pack, Battery secondary use, Business model, Reverse logistic, ESS, Remanufacturing, Battery repurposing, re-use, Battery second life economic analysis.

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Dans le cadre du développement des véhicules électriques et hybrides, la connaissance et la gestion de l'énergie du pack de batteries est une problématique majeure. Pour cela, les constructeurs automobiles ont besoin de modèles numériques pour représenter le comportement dynamique des batteries. L'objectif de cette thèse est de développer, d'une part une méthodologie de caractérisation du comportement dynamique des cellules de batterie et de leurs assemblages et d'autre part des modèles numériques associés qui soient simples, rapides, robustes, présentant le meilleur compromis précision/simplicité. La première partie du travail de la thèse a consisté à développer une nouvelle méthode de caractérisation expérimentale avec un modèle de circuit électrique équivalent, qui permet de s'appliquer facilement à différentes batteries et de calibrer la complexité du modèle (nombre de circuits utilisés) en fonction de la durée des mesures de la phase de repos après une sollicitation. Le modèle généré est capable de suivre les évolutions rapides et lentes de la tension de la batterie, ce qui peut améliorer l'estimation de la tension dans les applications BMS (Battery Management System). Des essais de validations sur différentes batteries ont montré que les modèles générés permettent une prédiction précise du comportement dynamique de la batterie. Ensuite, le manuscrit aborde les assemblages des cellules en série avec la méthode de caractérisation élaborée. Elle commence par une définition énergétique de l'assemblage. Puis, la modélisation de l'assemblage avec la méthode de caractérisation est discutée. Les essais de validation ont été menés sur différents assemblages et ont montré que le comportement dynamique de l'assemblage peut aussi être bien représenté avec les modèles identifiés / As part of the development of electric and hybrid vehicles, energy management in the battery pack is a major issue. Car manufacturers need a numerical model to represent the dynamic behavior of batteries. The objective of this work is to develop, on the one hand, a characterization method of the dynamic behavior of battery cells and their assemblies, and on the other hand the combined numerical models which are simple, fast, robust and with the best accuracy/simplicity compromise. The first part of the work is dedicated to develop a new experimental characterization method with an equivalent circuit model, which can be applied easily to different battery cells and allows calibrating the complexity of the model (number of the RC circuits) according to the measurement duration of the resting phase after a solicitation. Therefore, the generated model is able to follow the rapid and slow voltage change of the battery cell, which improves voltage and state of charge estimation for the BMS (Battery Management System) applications. The validation tests on different battery cells show that the generated model allows accurate prediction of the battery cell’s dynamic behavior. The second part of the work studies the cell assemblies with cells connected in series. It begins with an energy definition of the cell assembly. Then modelling of the assembly with the developed characterization method is discussed. The validation tests were carried out on different assemblies and show that the dynamic behavior of the assembly can be also well represented with the identified models

Object my master’s thesis is the design a Medical device uninterruptible power supply with managment system utilizing I2C bus. Norm EN 61000-3-2 define electric parameters for medical device power supply. In case of power supply for medial equipment is expressive accent on increased electric strength. This power supply have usually primary and secondary power circuit. Primary power circuit form line accumulator, which supplies needed output to the load and recharge reserve battery. Secondary is formed battery-pack, which serve as back-up power supply at drop-out prime circle. They have a minimum weight, small proportions, large overall effectivity also charging battery-pack and monitoring battery-pack charging condition. Result whole those master’s thesis is design Medical device uninterruptible power supply with managment system utilizing I2C bus and realization board layout. Resulting characteristics designed supply unit are: Output voltages are 5V/ 3 A , 12V/ 1,5 A and -12V/ 0,1 A. Managment support information about: Line adapter/ battery pack switch, battery-pack charging condition and actuall tempera-ture battery-pack.

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This thesis develops dynamic models for the two-mode FWD EVT, develops a control system based on those models that is capable of meeting driver torque demands and performing synchronous mode shifts between different EVT modes while also accommodating preferred engine operating points. The two-input two-output transmission controller proposed herein incorporates motor-generator dynamics, is based on a general state-space integral control structure, and has feedback gains determined using linear quadratic regulator (LQR) optimization. Dynamic modeling of the vehicle is categorized as dynamic modeling of the mechanical and electrical subsystems where the mechanical subsystem consists of the planetary gear sets, the transmission and the engine whereas the electrical subsystem consists of the motor-generator units and the battery pack. A discussion of load torque is also considered as part of the mechanical subsystem. With the help of these derived dynamic models, a distinction is made between dynamic output torque and steady-state output torque. The overall control system consisting of multiple subsystems such as the human driver, power management unit (PMU), friction brakes, combustion engine, transmission control unit (TCU) and motor-generator units is designed. The logic for synchronous mode shifts between different EVT modes is also detailed as part of the control system design. Finally, the thesis presents results for responses in individual operating modes, EVT mode shifting and a full UDDS drive cycle simulation.