Case Study: Coboc achieves accurate e-bike battery range prediction data with Lemberg Solutions

Coboc builds e-bike battery range prediction data pipeline with Lemberg Solutions, capturing 7 key ride parameters

Coboc, a Germany-based lightweight e-bike manufacturer, needed a highly accurate way to predict the remaining battery range for its e-bikes under various real-world conditions. The main challenge was the substantial volume of data required. They engaged Lemberg Solutions for its expertise in data acquisition to gather this information from users' mobile apps and e-bikes.

Lemberg Solutions built an iOS app to collect ride data, configured a cloud server for storage, and developed a Python script for data extraction. Their team successfully captured a large dataset of parameters including cyclist weight, road surface, tire pressure, and weather. The vendor delivered this complete database to Coboc, providing them with the necessary information to design a precise battery range prediction algorithm and ultimately enhance the end-user riding experience.

Coboc