15 citations · 16 across the 3 of their papers we have counts for
3 papers
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
Luca Biggio, Tommaso Bendinelli, Chetan Kulkarni +1
Electrochemical batteries are ubiquitous devices in our society. When they are employed in mission-critical applications, the ability to precisely predict the end of discharge unde…
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
Yuan Tian, Minghao Han, Chetan Kulkarni +1
Prescribing optimal operation based on the condition of the system and, thereby, potentially prolonging the remaining useful lifetime has a large potential for actively managing th…
Parameters inference and model reduction for the Single-Particle Model of Li ion cells
Michael Khasin, Chetan S. Kulkarni, Kai Goebel
The Single-Particle Model (SPM) of Li ion cell \cite{Santhanagopalan06, Guo2011} is a computationally efficient and fairly accurate model for simulating Li ion cell cycling behavio…