PowerUp develops battery analytics software that utilizes AI and machine learning to assess the state of health and safety of lithium-ion batteries across various chemistries. This technology enhances battery management by maximizing lifespan and ensuring safe operation, addressing the challenges of reliability and sustainability in energy storage and electric mobility systems.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Lithium-ion batteries in energy storage, electric mobility, and backup systems face challenges related to ensuring safety, maximizing lifespan, and maintaining reliability across various chemistries and manufacturers. Inadequate monitoring and management can lead to premature degradation, safety issues, and suboptimal performance, impacting the economic viability and sustainability of these systems.
Solution
PowerUp provides advanced battery analytics software that leverages AI and machine learning to assess the state of health and safety of lithium-ion batteries. By processing and interpreting operational data, the platform enables optimized and safe battery usage, regardless of chemistry or manufacturer. PowerUp's solutions facilitate predictive maintenance, extend battery lifespan, and enhance the reliability of battery-powered systems. The technology helps to maximize battery lifetime, avoid critical safety issues, and enables second life applications, contributing to a more sustainable use of batteries.
Target Audience
PowerUp serves energy storage integrators and operators, fleet operators in electric mobility, and critical infrastructure operators using backup systems.
Features
- Battery aging models covering all Li-ion chemistries, enriched by AI and machine learning methods
- Predictive management of batteries through unique insights derived from operational data
- Identification of abnormally high resistance in battery racks to prevent thermal runaway
- Monitoring of internal resistance changes over time to detect early signs of performance decline or safety risks
- Detection of cell imbalances that can lead to inhomogeneous aging or overvoltage/undervoltage
- Commissioning audit to provide insights into system safety and performance