About:Energy provides white-box battery simulation models and data to accelerate product development for in-house engineering teams. Their offerings include electrical, thermal, electrochemical, and degradation models that offer full transparency into underlying physics and parameters. These tools enable faster cell selection, pack design, and BMS development by reducing reliance on time-consuming physical testing.
Funding
$3.1M 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.

HVPARKURFounders
Product
Problem
Developing and optimizing battery systems requires precise simulations, but traditional methods involve costly in-house testing and lack transparency into the underlying models. Sparse and complex manufacturer data further hinders effective cell selection, pack design, and battery management system (BMS) development.
Solution
About:Energy provides white-box battery models and datasets to accelerate battery development by offering high-precision simulations without the need for extensive physical testing. The company's models integrate electrical, thermal, and electrochemical parameters, offering a transparent and customizable simulation environment. By providing full visibility into the model’s inner workings, About:Energy enables engineering teams to understand, trust, and modify the models as needed, facilitating faster problem-solving and optimization. The models seamlessly integrate into industry-standard tools, empowering teams to design, validate, and optimize battery systems more efficiently.
Target Audience
About:Energy serves engineering teams in the automotive, aviation, grid storage, and consumer electronics industries, as well as battery manufacturers and design engineers.
Features
- White-box models with full access to underlying equations and parameters for deep understanding and customization
- Electrical models that predict voltage-current relationships and cell heat generation
- Thermal models that predict heat flow and temperature distribution, capturing the impact of cooling strategies
- Electrochemical models that offer insights into battery physical states for optimization opportunities
- Degradation models and data for commercially available cells to predict battery life
- Integration with design software platforms like COMSOL and MathWorks