Data-driven direct diagnosis of Li-ion batteries connected to photovoltaics

Abstract

Photovoltaics supply a growing share of power to the electric grid worldwide. To mitigate resource intermittency issues, these systems are increasingly being paired with electrochemical energy storage devices, e.g., Li-ion batteries, for which ensuring long and safe operation is critical. However, in this operation framework, secondary Li-ion batteries undergo sporadic usage, which prevents the application of standard diagnostic methods. Here, we propose a diagnostic methodology that uses machine learning algorithms trained directly on data obtained from photovoltaic charging of Li-ion batteries. The training is carried out on synthetic voltage data at various degradation conditions calculated from clear sky model irradiance data. The method is validated using synthetic voltage responses calculated from plane of array irradiance observations for a photovoltaic system located in Maui, HI, USA. We report an average root mean square error of 2.75% obtained for more than 10,000 different degradation paths with 25% or less degradation on the Li-ion cells.

Data science accelerates energy device development

“…Moreover, experimental data can be complemented by synthetic data simulated with different failure modes, and this is a convenient and inexpensive way to expand the training dataset and benchmark the ML models. [69][70][71][72]…”

Electrocatalysis in Solid Oxide Fuel Cells and Electrolyzers

“…Increasing the Ni to Fe ratio in NiFe alloy-based cathodes generally enhances electrochemical rates, as indicated by the yellow line in Figure 12b, which compares the current densities at 800 °C and 1.3 V of NiFe/SFMNi0.1-SDC (Sr 2 Fe 1. 4 O electrolysis rates due to induced electronic and geometric alloy effects that optimize binding strength of oxygen intermediates for this reaction. 195 While we have discussed trends among O-SOECs with different cathode catalysts by comparing them based on the cell type and electrolyte composition, deviations in the trends even on identical cell components are significant among various reports.…”

“…One of the key drivers behind the adoption of electrochemical systems is the need to address the intermittent nature of renewable energy sources. Electrochemical systems offer the flexibility and scalability necessary to accommodate fluctuations in renewable energy sources and ensure a reliable supply of energy. , Furthermore, the modulation of energy conversion and storage capabilities inherent in electrochemical systems presents significant opportunities for delivering effective energy and chemical solutions in rural and socio-economically disadvantaged environments, which lack the infrastructure required for extensive power grid development . Energy storage in chemical form offers significant advantages compared to other technologies, such as batteries, particularly in the context of longer-term storage and the requirements of heavy transport applications, such as trucks, ships, and airplanes.…”

Porous High-Entropy Oxide Anode Materials for Li-Ion Batteries: Preparation, Characterization, and Applications

“…Although many green and renewable energy sources have been developed, such as wind, water, and solar, most renewable energy sources suffer from discontinuities and regional constraints [2,3]. Therefore, the development of high-performance energy storage devices has become a hot research topic in the new era [4][5][6][7], in which the lithium-ion battery (LIB) is one of the most promising energy storage devices due to the advantages of high energy density, strong cyclic stability, and environmental friendliness.…”