Artificial Intelligence (AI) has been a transformative force across industries, and battery research is no exception. From optimizing materials discovery to real-time monitoring of battery systems, AI promises to accelerate innovation and address some of the most pressing challenges in energy storage. But amidst the buzz, one question persists: Is AI living up to its potential in battery research, or is it more hype than reality? In this blog, we’ll dissect the current state

As a data scientist in the battery industry, I’ve had the privilege to dive deep into the vast ocean of battery data. From controlled lab experiments to real-world applications like electric vehicles (EVs), this data holds the key to unlocking advancements in next-generation battery technology. However, navigating and extracting value from this data presents its own set of challenges and opportunities. The Dual Nature of Battery Data: Challenges and Opportunities Battery data

In our previous blog, we started exploring the key health indicators for assessing the State of Health (SoH) of electric motorbike batteries. We focused on voltage-based features and demonstrated how they can reveal vital information about battery health. In this continuation, we’ll delve into additional health indicators that are crucial for a comprehensive understanding of battery diagnostics. Current Based Features Just like voltage, the current flowing through a battery d

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...