Optimizing EV Performance Through the Power of Data

For centuries, predicting the future has been one of the obsessions of humankind, and understandably so. Knowing what will happen gives us a sense of control and security that heavily influences the choices we make, from what we’ll wear, to where we’ll invest and what we’ll do. Over decades, we’ve developed technology that can get us close to predicting specific futures: the weather, economic downturn, when machines will fail, and how many miles an electric vehicle will give us are just some examples of such predictions. At the simplest level, what makes predictions work is having the right data fed into the right analysis model to determine the likelihood of something happening, thus enabling engineers to act upon it proactively. Sounds simple enough, but in practice, it’s anything but. From expensive recalls to battery malfunctions, EV batteries are under scrutiny and engineers are on the hook for it.