Model-Free Non-Invasive Health Assessment for Battery Energy Storage Assets

Abstract

With the increasing application of battery energy storage in buildings, networks and transportation, an emerging challenge to overall system resilience is in understanding the constituent asset health. Current battery energy storage considerations focus on adhering to the technical specification of the service in the short term, rather than the long-term consequences to battery health. However, accurately determining battery health generally requires invasive measurements or computationally expensive physicsbased models which do not scale up to a fleet of assets cost-effectively. This paper alternatively proposes capturing cumulative maloperation through a physics model-free proxy for cell health, articulated via the strong influence misuse has on the internal chemical state. A Hidden Markov Chain approach is used to automatically recognize violations of chemistry specific usage preferences from sequences of observed charging actions. The resulting methodology is demonstrated on distribution network level electrical demand and generation data, accurately predicting maloperation under a number of battery technology scenarios.

Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches

“…It is the annual cost of the operation and maintenance that is slotted for a particular project. The cost is given in USD for the working year from the inception of the plant/system [37]. The use of the USD would safeguard against the inflation of the local currencies.…”

“…Total Fuel Cost is a feature that would look at the cost of operation of the fuel for the project the fuels can be fossil-based fuels and gases [37]. This means that working operation costs of the fuel is considered for the monetary terms i.e., cost of fuel.…”

“…Total electrical production is the peak value of the power produced for the grid system that can be converted to useful power [37]. The total electrical production can be estimated for a plant or grid-based system.…”

“…Because of the growing relevance of batteries, researchers have been working hard to develop highly efficient and cost-effective storage devices. The method would require taking non-invasive measurements of the battery in real-time and analyzing the results [3].…”

SOC Estimation of Lithium-Ion Battery for Electric Vehicle Based on Deep Multilayer Perceptron

“…In order to reduce or eliminate these problems, the battery management system plays a critical role. In the battery management system [ 4 ], the accuracy of battery state of charge (SOC) estimation is an important indicator to measure battery performance. SOC is one of the critical parameters of lithium-ion batteries.…”