An increased amount of intermittent electricity production, more electric vehicles (EV), and an overall electrification of society may all cause a higher variability between the balance of supply and demand on the electric grid. Battery storage has been identified as a solution to the emerging problem asit can be charged during hours of low power demand and then discharged to help meet the power demand during peak loads. This master thesis investigates how characteristics from yearly power demand data can be defined so that a battery energy storage system (BESS) can be dimensioned for it and which parameters are important when dimensioning a BESS. The investment cost of the dimensioned BESS is investigated and calculated, and there is as well a general discussion of potentials, drivers, and barriers for a grid owner to implement a BESS. The master thesis includes a literature study and a case study performed together with Tekniska verken and its subsidiary company Tekniska verken Nät where three cases of varying sizes were investigated:• An EV charging station, with a peak power demand of up to 1 MW.• A distribution station, with an original peak power demand of close to 3 MW.• Purchased power from the regional grid, with a peak power demand of almost 152 MW. By dimensioning a BESS from a year-long data curve of the hourly power demand, a power limit was set. The highest peak power value over the power limit, the longest peak duration, and the highest energy peak were then identified to establish the curve characteristics. A battery storage was investigated to see if it could be used to meet the demand occurring when implementing a power limit to the yearly power demand curve. Batteries store electrical energy in the form of electrochemical energy and then transforms the energy back into electrical energy when needed and does so with varying efficiency according to the type of chemistry that is used in the battery. The so-called lithium ion (li-ion) battery is mostly used today and utilizes lithium in the shape of ions along with a metallic cathode and a carbon anode. The cathode and anode can vary in a li-ion battery chemistry, which varies its characteristics and means that there are multiple types of li-ion battery chemistry types. The specific li-ion battery chemistry lithium iron phosphate (LFP), was established as the most applicable battery due to its high energy density, easy to attain materials, general safety, maturity, and amount of discharge cycles it can handle throughout its lifetime. A BESS could be modelled from the LFP limitations and data curve for each case. The results showed that a short-duration variability of a power demand was a success factor for the implementation of a BESS. It allows the BESS to recharge often and the minimum required energy capacity could be lower and more optimal. An investment cost insecurity was established from literature when comparing estimates, as it could vary depending on the published date, used battery chemistry, taxes, and subsidies in the origin country of the literature. Therefore an estimate given by the Swedish transmission system operator (TSO), Svenska Kraftnät of 5-6 MSEK/MWh from a report published in late 2022 was deemed most relevant. An investment cost for each scenario in every case could be calculated and additional economical benefits relevant in the cases such as comparing to the cost of conventional grid reinforcement or economical gains from a lowered grid subscription were investigated. However, an overall conclusion that the investment cost of a BESS was too expensive to be deemed feasible and that there were no overwhelming economical gains from reducing the peak loads was made. A final generalization and discussion of drivers and barriers concluded that the applicability of a BESS can be identified by the defining characteristics of a demand curve. Moreover, it was found that the BESS investment cost was too high when only applying it for grid reinforcement methods. Although, a BESS can have additional benefits to the grid stability. The grid owner cannot however, own a BESS and use it on the frequency service market which otherwise would potentially make it economically feasible to strengthen the grid. The ultimate goal of the project is to help create a broader understanding of battery storage as part of the electrical network, where and when it can be applicable, and how one could go about investigating its use. / En ökad mängd variabel elproduktion, fler elbilar och en elektrifiering av samhället i helhet. Detta kommer skapa en högre variabilitet och därmed större obalans mellan tillförsel och efterfrågan på elnätet. Batterilagring har identifierats som en potentiell lösning till det ökade problemet då det kan laddas vid ett lågt effektbehov och urladdas vid ett högt effektbehov. Genom detta examensarbete kommer det undersökas hur karaktäristik från årliga effektkurvor kan definieras. Det görs i syfte av att dimensionera ett batterilagringssystem utefter datan. Därefter undersöks även vilka parametrar som är viktiga vid dimensioneringen av ett batterilagringssystem. Utefter de dimensionerade batterilagringssystemen tas även en investeringskostnad fram. En diskussion framförs även utifrån den generella potentialen, drivkrafter och barriärer som finns vid implementering av ett batterilagringssystem från perspektivet av en nätägare. Examensarbete består av en litteraturstudie och en fallstudie som genomförs i samarbete med Tekniska verken i Linköping AB och Tekniska verken Nät, där tre fall av varierande storlek undersöks:• En elbilsladdningstation, med ett toppeffektbehov på upp till 1 MW.• En fördelningsstation, med ett ursprungligt toppeffektbehov på nästan 3 MW.• Köpt effekt från det regionala nätet, där toppeffektbehovet uppgår till nästan 152 MW. Vid dimensionering av ett batterilagringssytem från den årliga effektkurvan måste en effektbegränsning sättas. Därefter kan den överstigande effektopplasten, den längsta tiden effektbegränsningen överstigs och den högsta överstigande energin tas fram, för att etablera kurvans karaktäristik. En undersökning gjordes om ett batterilager kunde användas för att möta effektbehovet då en effektbegränsning införs till den årliga effektkurvan. Batterier lagrar elektrisk energi i formen av elektrokemisk energi för att sedan transformera tillbaka det till elektrisk energi då det finns ett behov. Effektiviteten av transformeringen varierar beroende på den kemiska blandningen som batteriet är uppbyggt av. Det så kallade litiumjonbatteriet är det mest använda idag och nyttjar litium i formen av joner tillsammans med en metallisk katod och en anod av kol. Katod och anod kan variera vilket medför en förändrad karaktäristik och betyder alltså att det finns olika sorters litiumjonbatterier. Den specifika litiumjärnfosfat (LFP) blandningen ansågs mest användbar i elnätsapplikationer. Detta på grund av sin höga energidensitet, lättillgängliga material, generella säkerhet, teknikens mognad och mängden urladdningscyklar den kan hantera. Ett batterilagringssytem kunde då modellerades utefter LFP-batterikemin i kombination med den årliga effektkurvan för varje fall. Resultatet därifrån visade att en korttidsvariabilietet av effektbehovet var en framgångsfaktor vid implementeringen av ett batterilagringssystem. Detta då det tillåter för ett batterilagringsystem att återladdas oftare och en lägre minimal energikapacitet kan dimensioneras vilket gör den mer optimal. Vid undersökning av investeringskostnaden upptäcktes en svaghet i litteraturen vid jämförandet av kostnadsuppskattningar. Uppskattningen kunde variera beroende på publiceringsdatum, val av batterikemi, landets skatter och bidrag. Därav valdes en kostnadsuppskattning från den svenska stamnätsägaren, Svenska Kraftnät på 5–6 MSEK/MWh utifrån en rapport publicerat sent i 2022 som mest relevant. Utifrån kostnadsuppskattningen kunde en beräkning av investeringskostnad och ytterligare ekonomiska gynnsamheter relevanta för varje fall undersökas (såsom en jämförelse mot konventionell nätförstärkning eller sänkt abonnemangskostnad). Den generella slutsatsen som drogs var däremot att investeringskostnaden för ett batterilagringssystem var för dyrt för att vara ekonomiskt genomförbart. Det var dessutom inga betydande ekonomiska gynnsamheter som kunde ändra på det då batterilagringssystemet endast användes till att sänka toppeffektlaster. En avslutande generalisering och diskussion av drivkrafter och barriärer framgav att applicerbarheten av ett batterilagringsystem kunde definieras utifrån den identifierade karaktäristiken av den årliga effektkurvan. Dessutom framkom det att investeringskostnaden i varje fall var för hög då batterilagringssystemet endast nyttjades som nätförstärkning. Hursomhelst kan ett batterilagringssystem bidra till ytterligare fördelar i elnätets stabilitet. Elnätsägaren kan inte äga ett batterilagringssystem och använda det på effektreservmarknaden som annars kunde bidra till batterilagringssystemets ekonomiska genomförbarhet. Det slutliga målet av arbetet har varit att ge en bredare förståelse för batterilagring som en del av elnätet. Detta genom att ta reda på när och var det är applicerbart och hur man kan utvärdera dess användning.

Indiana University-Purdue University Indianapolis (IUPUI) / Lithium-ion batteries are widely used for portable electronics due to high energy density, mature processing technology and reduced cost. However, their applications are somewhat limited by safety concerns. The lithium-ion battery users will take risks in burn or explosion which results from some internal components failure. So, a practical method is required urgently to find out the failures in early time. In this thesis, a new method based on temperature difference between internal point and surface (TDIS) of the battery is developed to detect the thermal failure especially the thermal runaway in early time. A lumped simple thermal model of a lithium-ion battery is developed based on TDIS. Heat transfer coefficients and heat capacity are determined from simultaneous measurements of the surface temperature and the internal temperature in cyclic constant current charging/discharging test. A look-up table of heating power in lithium ion battery is developed based on the lumped model and cyclic charging/discharging experimental results in normal operating condition. A failure detector is also built based on TDIS and reference heating power curve from the look-up table to detect aberrant heating power and bad parameters in transfer function of the lumped model. The TDIS method and TDIS detector is validated to be effective in thermal runaway detection in a thermal runway experiment. In the validation of thermal runway test, the system can find the abnormal heat generation before thermal runaway happens by detecting both abnormal heating power generation and parameter change in transfer function of thermal model of lithium ion batteries. The result of validation is compatible with the expectation of detector design. A simple and applicable detector is developed for lithium ion battery catastrophic failure detection.

Die vorliegende Arbeit liefert einen Beitrag zum Verständnis der elektrochemischen Prozesse an der Elektrodengrenzfläche und im Festkörper graphitischer Anoden für Lithium-Ionen-Batterien. Der Zusammenhang zwischen den intrinsischen Eigenschaften des Aktivmaterials und den resultierenden Eigenschaften von Kompositelektroden stand dabei im Fokus der Untersuchungen. Die Temperaturabhängigkeit von Materialeigenschaften (Diffusionskoeffizient, Austauschstromdichte) und Elektrodeneigenschaften (Verhalten unter Strombelastung) wurde in einem Bereich von 40 °C bis -10 °C erfasst. Dazu werden elektrochemische Charakterisierungsmethoden aus der Literatur vorgestellt und hinsichtlich ihrer Gültigkeit für die Anwendung an realen Elektroden evaluiert. Die elektrochemisch aktive Oberfläche wurde bestimmt und stellte sich als ausschlaggebender Parameter für die Bewertung der Elektrodenprozesse heraus. Auf Basis korrigierter Elektrodenoberflächen konnten Austauschstromdichten für die konkurrierenden Prozesse Lithium-Interkalation und -Abscheidung ermittelt werden. Zusammen mit Kennwerten zur Keimbildungsüberspannung für Lithium-Abscheidung flossen die ermittelten Kennwerte in eine theoretische Berechnung des Zellstroms ein. Es konnte gezeigt werden, dass die Lithium-Abscheidung kinetisch deutlich gegenüber der Lithium-Interkalation bevorzugt ist, nicht nur bei niedriger Temperatur. Die Übertragbarkeit wissenschaftlicher Grundlagenexperimente auf kommerzielle Systeme war bei allen Versuchen Gegenstand der Untersuchungen. In einem separaten Beispiel einer Oberflächenmodifikation mit Zinn wurde diese Problematik besonders verdeutlicht. Zusätzlich wurde die parasitäre Abscheidung von Lithium auf graphitischen Anoden hinsichtlich der Nachweisbarkeit und Quantifizierung evaluiert. Hierfür wurde eine neue Untersuchungsmethode im Bereich der Lithium-Ionen-Batterie zur besseren Detektion von Lithium-Abscheidung und Grenzflächen-Morphologie mittels Elektronenmikroskopie entwickelt. Die Osmiumtetroxid (OsO4) Färbung ermöglichte eine deutliche Verbesserung des Materialkontrasts und erlaubte somit eine gezielte Untersuchung von graphitischen Anoden nach erfolgter Lithium-Abscheidung. Darüber hinaus konnte die selektive Reaktion des OsO4 für eine genauere Betrachtung der Solid Electrolyte Interphase genutzt werden. Eine Stabilisierung der Proben an Luft und im Elektronenstrahl konnte erreicht werden. / This work sheds light on the electrochemical processes occurring at commercially processed graphitic anodes. It raises the question whether values published in literature for mostly ideal electrode systems can be readily taken for simulation and design of real electrodes in high-energy cells. A multiple step approach is given, evaluating different methods to determine electrode and material properties independently. The electrochemically active surface area was shown to be a crucial parameter for the calculation of electrode kinetics. Using exchange current densities corrected for the electrode surface area, the overall charging current in a cell could be calculated. The resulting part of lithium deposition in the charging process is strikingly high, not only at low temperatures. To further investigate lithium deposition in terms of morphology and quantity, a method was developed for graphitic anodes. Osmium tetroxide (OsO4) staining serves well as a tool to strongly increase material contrast in electron microscopy. Thus lithium dendrites could be made visible in an unprecedented manner. Furthermore, the selective chemical reaction of osmium tetroxide allows for a better investigation of the multi-layer solid electrolyte interphase as was shown in transmission electron microscopy. Using the staining method, a stabilization of the sample under air and in the electron beam could be achieved.

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<h4>A generalized physics-based modeling framework is presented to analyze: (a) the effects of temperature on identified degradation mechanisms, (b) interfacial debonding processes, including deterministic and stochastic mechanisms, and (c) establishing model performance benchmarks of electrochemical porous electrode theory models, as a necessary stepping stone to perform valid battery degradation analyses and designs. Specifically, the effects of temperature were incorporated into a physics-based, reduced-order model and extended for a LiCoO₂ -graphite 18650 cell. Three dimensionless driving forces were identified, controlling the temperature-dependent reversible charge capacity. The identified temperature-dependent irreversible mechanisms include homogeneous SEI, at moderate to high temperatures, and the chemomechanical degradation of the cathode at low temperatures. Also, debonding of a statistically representative electrochemically active particle from the surrounding binder-electrolyte matrix in a porous electrode was modeled analytically, for the first time. The proposed framework enables to determine the space of C-Rates and electrode particle radii that suppresses or enhances debonding and is graphically summarized into performance–microstructure maps where four debonding mechanisms were identified, and condensed into power-law relations with respect to the particle radius. Finally, in order to incorporate existing or emerging degradation models into porous electrode theory (PET) implementations, a set of benchmarks were proposed to establish a common basis to assess their physical reaches, limitations, and accuracy. Three open source models: dualfoil, MPET, and LIONSIMBA were compared, exhibiting significant qualitative differences, despite showing the same macroscopic voltage response, leading the user to different conclusions regarding the battery performance and possible degradation mechanisms of the analyzed system.</h4>

As an efficient energy storage technology, lithium-ion batteries play a key role in the ongoing electrification of the mobility sector. However, the required modelbased design process, including hardware in the loop solutions, demands precise battery models. In this work, an encoder-decoder model framework based on recurrent neural networks is developed and trained directly on unstructured battery data to replace time consuming characterisation tests and thus simplify the modelling process. A manifold pseudo-random bit stream dataset is used for model training and validation. A mean percentage error (MAPE) of 0.30% for the test dataset attests the proposed encoder-decoder model excellent generalisation capabilities. Instead of the recursive one-step prediction prevalent in the literature, the stage-wise trained encoder-decoder framework can instantaneously predict the battery voltage response for 2000 time steps and proves to be 120 times more time-efficient on the test dataset. Accuracy, generalisation capability and time efficiency of the developed battery model enable a potential online anomaly detection, power or range prediction. The fact that, apart from the initial voltage level, the battery model only relies on the current load as input and thus requires no estimated variables such as the state-of-charge (SOC) to predict the voltage response holds the potential of a battery ageing independent LIB modelling based on raw BMS signals. The intrinsically ageingindependent battery model is thus suitable to be used as a digital battery twin in virtual experiments to estimate the unknown battery SOH on purely BMS data basis.

Lithium-ion batteries have transformed energy storage and technological applications. They stand poised to convert transportation from combustion to electric engines. The discharge/charge rate is a key parameter that determines battery power output and recharge time; typically, operation is on the timescale of hours but reducing this would improve existing applications and open up new possibilities. Conventionally, the rate at which a battery can operate has been improved by synthetic strategies to decrease the solid-state diffusion length of lithium ions by decreasing particle sizes down to the nanoscale. In this work, a different approach is taken toward next-generation high-power and fast charging lithium-ion battery electrode materials. The phenomenon of high-rate charge storage without nanostructuring is discovered in niobium oxide and the mechanism is explained in the context of the structure–property relationships of Nb2O5. Three polymorphs, T-Nb2O5, B-Nb2O5, and H-Nb2O5, take bronze-like, rutile-like, and crystallographic shear structures, respectively. The bronze and crystallographic shear compounds, with unique electrochemical properties, can be described as ordered, anion-deficient nonstoichiometric defect structures derived from ReO3. The lessons learned in niobia serve as a platform to identify other compounds with related structural motifs that apparently facilitate high-rate lithium insertion and extraction. This leads to the synthesis, characterisation, and electrochemical evaluation of the even more complicated composition–structure–property relationships in ternary TiO2–Nb2O5 and Nb2O5–WO3 phases. Advanced structural characterisation including multinuclear solid-state nuclear magnetic resonance spectroscopy, density functional theory, X-ray absorption spectroscopy, operando high-rate X-ray diffraction, and neutron diffraction is conducted throughout to understand the evolution of local and long-range atomic structure and changes in electronic states.