How to do Battery Cell Predictive Modeling with Micantis скачать в хорошем качестве

How to do Battery Cell Predictive Modeling with Micantis

Wanting to reduce the time to results for battery cycle life testing? Micantis, the state-of-art battery data management and analytics software platform, can be used for Cycle Life Prediction! At the International Battery Seminar & Exhibition (IBSE), I interviewed Mykela DeLuca about her work as a battery data scientist at Micantis, supporting cell manufacturing companies with cycle life prediction and cell modeling. Her process to support cycle life prediction & modeling using Micantis includes: 1. Identify Goals - understand the company’s cell modeling objectives 2. Set Pass/Fail Metrics - determine if there is enough of the right data to make the model 3. Data Cleaning and Stitching - prepare the data to ensure model accuracy 4. Feature Extraction - select which data describes the cell failure process(es) 5. Train Model - put data in model and tune hyperparameters 6. Generate Accuracy Metrics of the Model - probability at each cycle if the cell will fail and more! Get this - she stitched 150-200 data sets in just 30 minutes with Micantis! That’s a huge time savings in that step alone! Want to learn more? Email [email protected] for information or a demonstration. Micantis Website: https://micantis.io/ ---- 🔔 Like, Subscribe, and Hit the Bell so you don’t miss future updates! ☕️ Love what I’m doing and want to support the channel? Consider buying me a ‘coffee’! Support here: https://ko-fi.com/acrossthenanoverse 🔗 Explore all my links and resources: Check out my Linktree: https://linktr.ee/jillpestana 🔋 Want to learn more about batteries? I teach online courses on batteries! Visit Nanoverse Battery Courses: https://www.BatteryCourses.com