In this article, Tom Tranter discusses the challenges of debugging batteries for electric vehicles, focusing on striking a balance between high energy and high power in battery design. He addresses the complexities of selecting materials, testing designs, and optimizing battery performance within various constraints like safety, cost, and efficiency. Tranter introduces PyBaMM, an open-source battery mathematical modelling tool in Python that allows engineers to simulate and analyze battery behavior rapidly. By showcasing a simple experiment with PyBaMM, Tranter highlights how computational simulations can enable quick iterations and problem-solving, aiding engineers in overcoming the curse of dimensionality while developing innovative battery solutions.
https://github.com/ionworks/how-to-debug-your-battery