A5037595846- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Advanced Battery Materials and Technologies
- Fault Detection and Control Systems
- Reliability and Maintenance Optimization
- Supercapacitor Materials and Fabrication
- Transition Metal Oxide Nanomaterials
- Advanced battery technologies research
- Semiconductor materials and devices
- Conducting polymers and applications
Columbia University
2020-2023
University of California, Berkeley
2019
Abstract The ever‐growing needs for renewable energy demand the pursuit of batteries with higher energy/power output. A thick electrode design is considered as a promising solution high‐energy due to minimized inactive material ratio at device level. Most current research focuses on pushing thickness maximum limit; however, very few them thoroughly analyze effect cell‐level densities well balance between and power density. Here, realistic assessment combined other key parameters provided,...
ConspectusThe demand for lithium ion batteries continues to expand powering applications such as portable electronics, grid-scale energy storage, and electric vehicles. As the application requirements advance, innovation of toward higher density power output is required. Along with investigation new materials, an important strategy increasing battery content design electrodes high areal loading minimize fraction nonactive materials current collectors, separators, packaging components,...
To suppress dendrite formation in lithium metal batteries, high cation transference number electrolytes that reduce electrode polarization are highly desirable, but rarely available using conventional liquid electrolytes. Here, we show increase their numbers (e.g., ∼0.2 to >0.70) when confined a structurally rigid polymer host whose pores on similar length scale (0.5-2 nm) as the Debye screening electrolyte, which results diffuse electrolyte double layer at polymer-electrolyte interface...
Abstract Models to understand and predict degradation can play a key role in improving the utility of Li‐ion batteries. While classical mechanistic models describe complex physics degradation, more recently, data‐driven machine learning have been increasingly utilized for state estimation lifetime prediction. In this study, physical grounding is combined with power via analysis published synthetic low rate charge curves generated by model different thermodynamic modes. The applied LFP, NMC,...
Quantifying the tortuosity of porous lithium-ion electrodes is important for understanding rate capability cells and optimizing their design, particularly when designing high energy density such as those desired electric vehicles. However, quantifying may be difficult, results often disagree with commonly used Bruggeman relation. Here, we discuss observation that PVDF binder, a polymer to mechanically hold electrode together, has direct effect on NMC111 cathodes. Using pseudo-two-dimensional...
Measuring tortuosity in porous electrodes is important for understanding rate capability and optimizing design. Here, we describe an approach to determine electrode tortuosities quantify the associated uncertainties by fitting a P2D model discharge profiles from standard test. A dimensionless current identified as design-of-experiment parameter that can be used identify experiments return confident estimates of tortuosity, even when other parameters are not known with certainty. This applied...
Battery cathodes are complex multiscale, multifunctional materials. The length scale at which the dominant impedance arises may be difficult to determine even with most advanced experimental characterization efforts, and thus modeling can play an important role in analysis. Discharge voltage relaxation curves, interrogated theory, used distinguish between transport that arise on of active crystal agglomerates (secondary particles) comprised nanoscale crystals. Model-selection algorithms...
Thick electrode design and charge transport across were probed<italic>via operando</italic>EDXRD an expanded continuum model.
A full depth of discharge mathematical model for the lithium trivanadate cathode, considering lithiation layered α -phase, phase change, and rock-salt like β -phase at lower potentials, is developed. The coupled electrode-scale crystal-scale fit to electrochemical data, additionally validated with operando EDXRD. There good agreement between simulated measured spatial variation volume fraction -phase. This used guide electrode fabrication, accounting both ionic electronic transport effects....
Degradation of lithium trivanadate ( Li x V 3 O 8 ) cathodes has been widely reported in the literature, but studies have offered little insight towards developing a detailed understanding evolution active material, and inconclusive as to root cause degradation. Here, we refit validated physics-based model discharge curves over course cycling at C/5, use parameters track cathode. A regularization penalty for adjusting from is introduced framework identify which can explain significant...
While deeply charged high-voltage cathodes can improve battery energy density, understanding and preventing any accelerated cell degradation is crucial to practical success. To analyze the of LiNixMnyCo1–x–yO2 (NMC) type material 4.3 4.5 V, a physics-based model applied cycling data obtain parameter estimates indicative modes, which are validated by simple electrochemical measurements further interpreted materials characterization. Growth rates interfacial impedance active loss greater at as...
Use of physics-based models to interpret battery degradation data over the course cycling can provide deeper physical insight into internal states system and how they evolve. We present a neural network trained on simulations generated by previously published model for lithium trivanadate (LVO) cathode estimate parameters that evolve cycling. focus robustness through two case studies probe different kinds discrepancies between experiment: nonideal imperfect model. In former, experimental...
Advanced electrode architectures utilizing aligned channels show promise in improving rate performance. However, the relationship between channel structure and electrode-scale ion transport must be understood to enable optimization of designs. Using a physics-based P2D model for experimental analysis, impact structures on cell capability is quantified. Results are used aligned-channel volume fraction mass loading. Anticipated improvements volumetric energy density over optimal conventional,...
Degradation phenomena in Li-ion batteries are highly complex, coupled, and sensitive to use history operating conditions. In this study, we show how tracking model parameters continuum-level physics-based models, expedited by machine learning, can be useful testing hypotheses for degradation mechanisms. An exemplary analysis using approach is presented a set of lithium trivanadate ( <?CDATA $L{i}_{x}{V}_{3}{O}_{8}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll">...
Battery research and development efforts necessarily involve large-scale experimental studies where cells are cycled under different conditions. Physics based models (PBM) of the type pioneered by John Newman, Ralph White, others can play a key role in interpreting resulting cycling data, course be used to improve performance modifications cell design optimize for specific application. Long-term that characterize degradation an important experiment estimate useful battery life real-world The...
Batteries are complex, with phenomena emanating from multiple length scales that may impact performance and life. Advances thus require multiscale experimental inquiries, mathematical models, including be employed to design, analyze integrate studies. In early-stage research efforts, close collaboration efforts result both in dramatically improved model fidelity more optimal utilization of resources. We present approaches augment physics-based models Li-ion cathodes applied statistics...
Newer, more demanding energy storage systems require high density along with power and fast charge rates. Conventional battery electrode fabrication techniques are often limited by how much active material they can hold in the case of slurry-cast electrodes be utilized dense pelletized electrodes. Thick porous have been developed as a way to obtain higher mass loading an architecture which enables ionic electronic transport. The homogeneity phase distribution lithiated LVO thick (∼500 μm)...