Technical Notes
On machine learning, physical systems, and real-world data

In our previous blogs, we explored the concept of State of Health (SoH) and the underlying aging mechanisms that affect electric motorbike batteries. We also touched upon the importance of everyday practices like charging habits in influencing battery health. But how can we objectively assess battery health and predict its remaining useful life? This blog dives into the technical world of health indicators for data-driven battery diagnostics. Health Indicators: Unveiling the

In the previous blog, "From Data to Insights: Understanding EV Battery State of Health" we explored the critical role of State of Health (SoH) in maximizing the performance, safety, and lifespan of your electric motorbike battery. We also discussed the challenges associated with accurately estimating SoH. But the story doesn't end there! To effectively manage battery health, we need to understand the culprits behind degradation – the aging mechanisms themselves. This blog di

As a data scientist at an electric motorbike company, I'm passionate about the role EVs play in combating climate change. By reducing...