Increasing battery lifetime has broad benefits to various energy storage applications. Most significantly, this reduces life cycle financial and environmental cost. StorageX adresses this challenge by:
- Performing fundamental studies to understand majority and minority degradation mechanisms
- Developing active and inactive battery materials with exceptional chemical and cycle stability
- Using data-driven and machine learning approaches to predict lifetime without performing years-long tests
- Developing improved battery management systems (e.g. sensors for active feedback, charging protocols) to minimize damage during operation
- Developing life cycle valuation models to determine the marginal dollar value of lifetime extension and the technoeconomic cost-lifetime targets for various energy storage applications
