Accurate range prediction of E bikes with Machine Learning

[MedadNewman]

Hi there,

I am doing some research into E bikes and was wondering if anyone has used machine learning to do predictions of long term degradation of E bikes. I think the part that fails is the battery.
Has anyone collected long term data that includes:

• motor current
• batt voltage
• state of charge
• road conditions(inclined road, slope etc)
• External temperature
• E bike speed

I suspect this data would give clues on how the battery degrades. I know the Cycle Analyst V3 collects some of this data.

What do you think?

Medad

 

[MedadNewman]

Happy to hear from people even if you have not seen any degradation!

 

[vfr400]

You'd be better off looking at Endless-sphere. I can't remember ever seeing any useful data on this forum. You'll learn a lot from the thread below:

Li-ion cells cycle ageing

This topic arise from the Pajda´s idea in another thread : https://endless-sphere.com/forums/viewtopic.php?f=14&t=102387&p=1507776#p1507776 Frustrated and tired by never ending unfruitful debate about cycle life of various Li-ion cells, I finaly decided to start some long term cycling to see...

endless-sphere.com

Battery Technology

endless-sphere.com

 

[MedadNewman]

You'd be better off looking at Endless-sphere. I can't remember ever seeing any useful data on this forum. You'll learn a lot from the thread below:

Li-ion cells cycle ageing

This topic arise from the Pajda´s idea in another thread : https://endless-sphere.com/forums/viewtopic.php?f=14&t=102387&p=1507776#p1507776 Frustrated and tired by never ending unfruitful debate about cycle life of various Li-ion cells, I finaly decided to start some long term cycling to see...

endless-sphere.com

Battery Technology

endless-sphere.com

Thanks for the tip

 

[Nealh]

The best unbiased resource is the ES cell aging thread, the guys over there go to great lengths and post stuff that you simply don' see elsewhere.