In this post, I review the recently published paper “Online capacity estimation of lithium-ion batteries with deep long short-term memory networks” by Li, Sengupta, Dechent, Howey, Annaswamy, and Sauer. Note: this review was completely reworked based on the input from Weihan Li, the author of the paper. Thanks to him for helping to fix my understanding.
Thanks for your review of this paper. This work looks very interesting as a data-driven approach for battery modelling. By the way, I was wondering what do you mean by coupling this approach with an electrical cell model? Do you mean that we can use the electrical cell model (once it was calibrated) to generate inputs (eg Voltage, Temperature) for the LSTM network?
Thanks for your review of this paper. This work looks very interesting as a data-driven approach for battery modelling. By the way, I was wondering what do you mean by coupling this approach with an electrical cell model? Do you mean that we can use the electrical cell model (once it was calibrated) to generate inputs (eg Voltage, Temperature) for the LSTM network?