bluuebunny/crossref_metadata_2025_split huggingface dataset:
(Invited) Sensor Integration in Lithium-Ion Cells from a Systems Perspective
Authors: Schmidt Jan Philipp 
Published: February 2024

The cell temperature is a critical factor that impacts performance, safety and longevity of batteries. For the optimum operating strategy, therefore, maximum and minimum cell temperature must be available to the BMS at all times. This is a challenge, however, because typical automotive batteries use more than a hundred cells and the cells themselves do not exhibit a homogeneous temperature.For this reason, it was and is particularly important in the development of lithium-ion batteries to measure the temperatures at the relevant points - and thus often also inside the cells themselves.
In the first part, an overview of the current state of research on cell-internal temperature measurement will be given and the efforts to transfer these approaches into application will be further discussed. In particular, the technical requirements at the system level will be discussed, but also the difficulties of industrialization.
In addition to the integration of sensors, the determination of temperature from already existing variables such as cell voltage and current has already been described in many approaches. In particular, the application of impedance spectroscopy has reached a level that can be described as ready for industrialization. After an overview of the current state of research, the requirements for application in the target system will be addressed and the necessary further research is discussed.
Predicting the Heat Generation Rate in Large Format Pouch-Type Lithium-Ion Battery Cells for Automotive Applications
Authors: Zhang Han , Garrick Taylor R. , Labaza Christine , Gao Jing , Koch Brian , Du Xiaoniu , Choi Chihwan , Choe Song-Yul 
Published: February 2024

Accurate prediction of the heat generation rate of lithium ion batteries is critical for driving towards a cost effective and efficient design of a thermal management system for various applications.[1, 2] because of the increase in battery cell dimensions associated with an increase in battery cell capacity to drive towards a reduction in range anxiety for automotive applications, as well as more aggressive operating conditions that are typically seen in the automotive industry, such as direct current fast charge and sustained driving under load, heat generation at the cell level must be considered as spatially nonuniform during operation. Proper design of the thermal management system requires prediction[3] of the heat generation of the battery cell in both a lumped fashion for system sizing, as well as a distributed mode in order to focus cooling appropriately to decrease local temperature extremes. Local temperature extremes can adversely affect the aging of the battery cell due to the non-uniformities in electrochemical utilization of the active material, increased local reaction rates, and increased mechanical stresses in active materials.
In this work, we detail our efforts to characterize the heat generation[4] of a battery cell under a variety of operating conditions, quantify the impact of temperature non-uniformities[5] on the aging of the battery cell, and experimentally[6, 7] evaluate the localized aging in the battery electrodes based on local temperature conditions. Here, we will describe the modeling methods developed to link operating conditions, aging, and heat generation with the electrochemical performance of the battery cell. A discussion of the model performance for relevant automotive applications will also be included.
References

M. Song, Y. Hu, S.-Y. Choe and T. R. Garrick, J Electrochem Soc, 167, 120503 (2020).

Y. Hu, S.-Y. Choe and T. R. Garrick, Electrochim Acta, 362, 137124 (2020).

M. Song, Y. Hu, S.-Y. Choe and T. R. Garrick, J Electrochem Soc, 169, 070502 (2022).

Y. Hu, S.-Y. Choe and T. R. Garrick, Applied Thermal Engineering, 189, 116709 (2021).

Y. Hu, S.-Y. Choe and T. R. Garrick, J Power Sources, 532, 231350 (2022).

U. Janakiraman, T. R. Garrick and M. E. Fortier, J Electrochem Soc, 167, 160552 (2020).

T. R. Garrick, J. Gao, X. Yang and B. J. Koch, J Electrochem Soc, 168, 010530 (2021).
Plasmonic Based Fibre Optic Sensors as an in-Situ Battery Diagnostic Technique
Authors: Gardner Christopher , Langhammer Elin , Fleming Joe , Roberts Alexander John , Bhagat Rohit , Amietszajew Tazdin 
Published: February 2024

Plasmonic based fibre optic sensing is a technique that enables measurements of the refractive index of an analyte via a metal coated fibre optic sensor. Fibre optics are well suited to take measurements from difficult to access or remote locations, and the technique of plasmonic based sensing has been used widely in biotechnology research. In this research we demonstrate the use of the plasmonic sensing technology as a diagnostics tool in lithium-ion batteries, a novel use of this sensing technology.
Plasmonic based fibre optic sensors are placed inside li-ion pouch cells, allowing access to information from directly inside the system. Our research has shown multiple promising features, including a correlation of the optical signal with cell charge and discharge, detection of cell events such as phase transitions, and crucially that the presence of the sensor has negligible impact on the cell performance. This opens up the possibility of a new battery diagnostic technique, with the potential to aid cell research and characterisation, battery usage optimisation and early detection of cell failure modes such as lithium plating.

Figure 1
(Battery Division Student Research Award Sponsored by Mercedes-Benz Research & Development) Rationalizing Fast Lithium-ion Diffusion in Inorganic Lithium Superionic Conductors
Authors: Jun KyuJung , Ceder Gerbrand 
Published: February 2024

All-solid-state batteries are gaining attention due to the potential advantage that solid electrolytes provide in terms of safety and energy density. Understanding the mechanism of fast lithium-ion diffusion in inorganic materials has become one of the key challenges in materials science. Among various factors that affect lithium mobility, the topology of the crystal structure strongly dictates which materials can accommodate fast lithium-ion motion. Despite this, the intrinsic mechanism that connects the lithium-ion diffusion to the structural feature of the crystal structure and motion of the non-diffusing framework remains unclear, hindering the rational design of novel fast-conducting solid electrolytes.
This talk focuses on the fundamental understanding of the structure-property relationship of lithium-ionic conductivities. We first discuss the structural factors governing fast lithium-ion diffusion in oxide materials. We find that both the topology of the lithium-ion diffusion network as well as the connectivity of the non-diffusing framework strongly affect lithium-ions diffusion in oxide materials. Structural features that allow lithium superionic conductivity in oxide materials are identified, which led to the discovery of 16 novel fast lithium-ion conducting frameworks.
In the second part of the talk, we present our statistical framework for understanding the correlation between anion-group rotational motion and lithium-ion translational motion. Using event-detection algorithms on long ab-initio molecular dynamics trajectories, we detect and differentiate various types of rotational motion of anion groups. This allows us to obtain a statistically rigorous understanding of how each type of anion group rotational motion affects lithium-ion diffusion events. These fundamental understandings provide design guidelines towards the development of fast-diffusing inorganic materials optimal for all-solid-state batteries.
(Battery Division Technology Award) An Odyssey Through the Uncharted Waters of Post Lithium-Ion Batteries
Authors: Muldoon John 
Published: February 2024

Advanced energy storage technologies such as lithium-ion batteries have enabled the development of ubiquitous portable electronic devices and are critical to the development and widespread adoption of practical electric vehicles. While lithium-ion batteries represent the most advanced energy storage technology currently available commercially, the desire for significant improvement in energy density and cost has led to a strong interest in so-called “beyond lithium-ion” batteries such as sodium, lithium-air, lithium-sulfur, multivalent batteries and solid-state batteries. In this talk, I will guide you on an odyssey toward post li-ion batteries. In particular, we will travel through the peaks and valleys of multivalent1-4, lithium-sulfur5-8, and all-solid-state batteries9-12.
References:

Kim, H. S.; Arthur, T. S.; Allred, G. D.; Zajicek, J.; Newman, J. G.; Rodnyansky, A. E.; Oliver, A. G.; Boggess, W. C.; Muldoon, J. Nat. Commun.
2011, 2, 427.

Muldoon, J.; B. Bucur, C.; G. Oliver, A.; Sugimoto, T.; Matsui, M.; Soo Kim, H.; D. Allred, G.; Zajicek, J.; Kotani, Y. Energy & Environmental Science
2012, 5 (3), 5941–5950.

Muldoon, J.; Bucur, C. B.; Gregory, T. Chem. Rev.
2014, 114 (23), 11683–11720.

Bonnick, P.; Muldoon, J. Advanced Functional Materials
2020, 30 (21), 1910510.

Bucur, C. B.; Muldoon, J.; Lita, A. Energy Environ. Sci.
2016, 9 (3), 992–998.

Bonnick, P.; Nagai, E.; Muldoon, J. Electrochem. Soc.
2018, 165 (1), A600.

Bonnick, P.; Muldoon, J. Energy Environ. Sci.
2020, 13 (12), 4808–4833.

Osada, N.; Bucur, C. B.; Aso, H.; Muldoon, J. Energy Environ. Sci.
2016, 9 (5), 1668–1673.

Bonnick, P.; Niitani, K.; Nose, M.; Suto, K.; S. Arthur, T.; Muldoon, J. Mater. Chem. A
2019, 7 (42), 24173–24179.

Bonnick, P.; Muldoon, J. Energy Environ. Sci.
2022, 15, 1840-1860.

Muldoon, J.; Bucur, C. B.; Boaretto, N.; Gregory, T.; Di Noto, V. Polym. Rev.
2015, 55 (2), 208–246.

Suto, K.; Bonnick, P.; Nagai, E.; Niitani, K.; Arthur, T. S.; Muldoon, J. Mater. Chem. A
2018, 6 (43), 21261–21265.
Enhancing Ion Mobility in Solids with Physics-Informed and AI-Driven Descriptors
Authors: Sotoudeh Mohsen , Gross Axel 
Published: February 2024

The field of sustainable energy storage and conversion has witnessed increasing interest in ionic conductors due to their potential applications in electrochemical devices such as electrodes and solid electrolytes. In this study, we employed a combination of density functional theory investigations and artificial intelligence techniques to develop a robust descriptor for ion mobility [1,2]. Our descriptor incorporates factors like structural distortions, electronegativity, ionic radii, and oxidation states. By investigating various charge carrier chemistries and the anion and cation chemistries of the host lattice, we discovered that migration barriers are interconnected through linear scaling relations. Building upon this descriptor, we conducted a comprehensive study that employed both theoretical and experimental approaches to identify cathode materials with enhanced mobility for Mg-ions. Our focus was on oxide spinels, and we employed periodic density functional theory calculations to analyze the migration of Mg2+ ions and evaluate the electronic, geometrical, and stability properties of different transition metals within the spinel structures. Our findings reveal that electronegative transition metals, such as Rh, facilitate high mobility of Mg-ions and promote favorable cathode functionality within oxide spinel frameworks [3]. Based on these insights, we identified MgRh2O4 as a promising candidate and proceeded to prepare and characterize it structurally. This study opens up new possibilities for utilizing functional cathode materials with improved transport properties in battery-related applications. [1] M. Sotoudeh and A. Groß JACS Au 2022, 2, 463–471.
[2] M. Sotoudeh, M. Dillenz, A. Groß, Adv. Energy Sustainability Res. 2021, 2, 2100113. [3] M. Sotoudeh, M. Dillenz, J. Döhn, J. Hansen, S. Dsoke, A. Groß, Chem. Mater. 2023, 35, 4786–4797.
Morphology Dependent Electrochemical Performance of Hydrothermally Synthesized Birnessite-Type Manganese Dioxide in Aqueous Aluminum Ion Batteries
Authors: Abdi Azadeh , Sarraf-Mamoory Rasoul , Bund Andreas , Stich Michael 
Published: February 2024

Three distinct morphologies of δ-MnO2, including a mixed morphology with nanofibers and nanosheets, smaller nanosheets, and larger, more organized nanosheets, were synthesized by controlling the hydrothermal synthesis parameters. The aim is to use these materials in aqueous aluminum ion batteries (AIBs). The materials were characterized using X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), and energy-dispersive X-ray spectroscopy (EDS). The electrochemical performance of the δ-MnO2 electrodes was evaluated using cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS) techniques.
It was found that the morphology of the δ-MnO2 had a significant impact on the electrochemical properties of AIBs. Specifically, among the δ-MnO2|0.5 M Al2(SO4)3 0.4MMnSO4|Al batteries, the δ-MnO2 with larger, more organized nanosheets exhibited the highest specific capacity of 320 mAh/g, followed by the mixed morphology (213 mAh/g), and the smaller nanosheets (140 mAh/g). Furthermore, the δ-MnO2 with smaller nanosheets demonstrated the best capacity retention over 70 cycles, retaining 98% of its initial capacity, while the δ-MnO2 with larger, more organized nanosheets exhibited the lowest capacity retention, retaining only 9.3% of its initial capacity after 70 cycles.
In conclusion, this study highlights the impact of the δ-MnO2 morphology on the electrochemical properties of AIBs, with smaller nanosheets exhibiting superior performance in terms of capacity retention. These findings could be valuable for the rational design and optimization of high-performance AIB electrodes.
Keywords: aqueous aluminum ion batteries, manganese dioxide
Insights into the First Multi Transition Element Containing Ruddlesden Popper-Type Cathode for Fluoride Ion Batteries
Authors: Clemens Oliver , Vanita Vanita 
Published: February 2024

Fluoride ion batteries (FIBs) have emerged as a recent solid-state battery technology, offering an alternative to traditional battery systems. However, the existing FIBs have encountered challenges related to their poor cycling performance and improved electrodes based on fluoride insertion chemistry are highly sought.
Here, we investigate Ruddlesden-Popper type La2Ni0.75Co0.25O4+𝛿 as a promising intercalation-based active cathode material for all-solid-state FIBs. We determine the structural changes of La2Ni0.75Co0.25O4+𝛿 during Fluoride intercalation / de-intercalation by X-ray Diffraction (XRD), electrochemical measurements and X-ray absorption spectroscopy to understand the detailed complex reaction behaviour of the phase, focussing on understanding the changes of Ni, Co oxidation states and coordination environments. Under optimized operating conditions, we obtained a cycle life of 120 cycles at a critical cut-off capacity of 40 mAh/g and over 250 cycles under pressure of 452MPa. The average Coulombic efficiencies ranged from 95% to 99% for the cell running under pressure. Thus, La2Ni0.75Co0.25O4+𝛿 corresponds to the most promising cycling-stable high-energy cathode materials for all-solid-state FIBs with the improved capacity.
Elevating Energy Density in Li-Ion Batteries through Electrospun Nanotubular Titania-Polymer Interfaces
Authors: Charkhesht Vahid , Yarar Kaplan Begum , Alkan Gursel Selmiye , Yurum Alp 
Published: February 2024

The introduction of new anode materials holds the potential to address critical safety concerns associated with current commercialized options in Li-ion batteries. Graphite, while widely used, poses challenges due to its low charging potential, which contributes to the growth of dendrites and safety risks. In contrast, titania-based materials present an appealing solution. Their higher operational potential not only curbs dendrite formation but also prevents the formation of a thick solid electrolyte interface (SEI). Furthermore, the limited volume expansion during lithiation significantly enhances their safety profile, differentiating them from graphite-based anodes such as those incorporating silicon.
In this new study, titania-based nanotubular structures were created for high-energy Li-ion batteries using a novel electrospinning technique. Titania-based nanotubes were synthesized, modified for optimal charge transfer, and combined with a self-standing electrode through electrospinning with PVDF. The effects of various thermal treatment conditions on Li-ion diffusion were explored using electrochemical methods. The best charge transfer kinetics were observed in the sample treated for 10 hours. After optimizing the electrospinning process, a fully embedded nanotube fibrous structure was achieved, confirmed by electron microscopy. The use of a polymeric network removed the need for metallic current collectors, boosting energy density by 14%. These electrospun electrodes show great promise for high-energy applications.
This work was supported by the M-era.Net 2019 call project “LiBASED Li-ion BAttery-SupErcapacitor Hybrid Device”. The research was co-funded by the Turkish Scientific and Technological Research Council (TUBITAK) with project number 119N758.
Improving SiOx Electrode Performance in Pressurized Pouch Cells with a Ceramic Coated Separator
Authors: Choi Junhyeok , Choi Seungyeop , Kim Suhwan , Lim Jaejin , Lee Yong Min 
Published: February 2024

The global electric vehicle (EV) landscape, driven by environmental concerns, has propelled the demand for high-capacity battery materials. Silicon-based anode materials have emerged as promising candidates due to their remarkable capacity. However, the inherent challenge lies in their substantial volume expansion during operation, exceeding 300%, which causes structural instability within the electrode.
To counteract this issue, a direct compression method is employed to mitigate the anode's volumetric expansion, ensuring sustained adhesion between active materials and current collectors. This approach promotes consistent electrical connectivity and augments capacity retention. Nevertheless, excessive pressure can detrimentally affect separators with limited mechanical resilience, resulting in pore constriction. This constriction impedes the efficient flow of electrolytes between the separator and electrode, leading to premature lithium depletion.
In our study, we compressed SiOx electrodes using Ceramic Coated Separator (CCS). CCS's unique combination of mechanical reinforcement, improved wetability, and enhanced ionic conductivity played a pivotal role, ultimately contributing to the overall improvement in electrode performance. We employed digital-twin simulations, utilizing the Finite Volume Method (FVM), to investigate the influence of CCS on various aspects. Digital-twin simulations involve creating a computational replica of the real object's geometry, allowing us to replicate its behavior and characteristics in a virtual environment, thereby enabling a detailed and accurate assessment of CCS effects. This included analyzing the enhancement of mechanical properties, such as the evaluation of von Mises stress and effective stiffness. Furthermore, we explored how CCS impacted the deformation of separators under pressure and closely monitored the movement of lithium ions within them.
The findings underscore the successful integration of CCS into SiOx electrodes, resulting in a substantial improvement in life and performance under pressure conditions. This research contributes valuable insights to the advancement of battery technology, particularly in the context of EVs, by addressing critical challenges associated with silicon-based anode materials.
Creating a Visual Topic Map for Battery Researchers Using a Large Global Open Dataset
Authors: Dieb Sae , Foppiano Luca , Sodeyama Keitaro , Tanifuji Mikiko 
Published: February 2024

Battery related research has gained increasing attention in recent years. A large number of research papers about battery are being published as open access. In order to explore the research content in these papers efficiently, it is necessary to develop information management tools to capture the knowledge embedded in them.
We are working on a project to create a visual topic map for battery researchers. This map connects battery researchers according to their research topics. This allows potential connection between researches with similar research topics, which increase collaboration opportunities to advance battery research. Additionally, visualization of research content supports intuitive capturing of research trend by maximizing information absorbance.
We extract all published works related to battery research from OpenAlex1, which is a fully open catalog of the global research that offers significant advantages in terms of data coverage and affordability and openness. Anther important feature of OpenAlex is that, every article is tagged with multiple concepts using automatic classifier. In addition to concepts extracted from OpenAlex dataset, we used a pre-trained large language model, named KeyBERT2, to further extract representative terms from the work abstract. KeyBERT is a minimal and easy-to-use keyword extraction technique based on the transformers model.
For each researcher, we have extracted all concepts and terms from all the articles that authored by that author. Using those terms and concepts, we formulate a vector for each researcher that represents the total research output. To find researchers with similar research interests, we measure similarity between the vectors in the authors space. Top matching authors are connected visually to create a map expands over representative topics in battery related research. Figure 1 shows a snapshot of this map. Researchers names were hidden for privacy purposes.

1Priem, J., Piwowar, H., & Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. ArXiv. https://arxiv.org/abs/2205.01833

2Grootendorst, M. (2020). KeyBERT:
Minimal keyword extraction with BERT. https://doi.org/10.5281/zenodo.4461265

Figure 1