EnviSave mission
EnviSave is committed to save environment by facilitating the re-use of used batteries in second life applications which will reduce the carbon footprint of battery production. Depending on the battery health condition, the used batteries of old electric vehicle or other battery-powered devices, can be used in automotive, mobility, or stationary applications or must be sent for recycling. The main challenge is to accurately determine the health condition since batteries have nonlinear complex behaviour which depends on several parameters. A good method for sorting batteries for reuse/recycling can lead to more reuse, and thus contribute positively both to the environment and to sustainable value creation.
What it is our product?
EnviSave has developed a precise, fast, and low-cost software tool for lithium-based battery state of health estimation with accuracy of more than 98% which can be implemented on BMS. The proposed tool is provided in one-off sale format or at a yearly licencing cost.
How does it work?
EnviSave’s battery state of health estimation tool is a new online estimation method based on data driven technique. Specialized aging data is used as training dataset. After training, the proposed method requires collecting a short test data from the battery terminals to estimate the state of health. The introduced machine-learning methods can be used for both health estimation and EOL prediction due to its flexibility and nonlinear matching ability.
