ONLINE STATE OF CHARGE PREDICTION IN NEXT GENERATION VEHICLE BATTERIES USING DEEP RECURRENT NEURAL NETWORKS AND CONTINUOUS MODEL SIZE CONTROL
Published in Journal of Energy and Power Technology, 2020
Recommended citation: Hespeler, Steven. (2020). "Paper Title Number 2." Journal 1. 1(2). http://tov-nephesh.github.io/files/JEPT_article_v4[9390].pdf
This paper is a continuation of the study from article 1. It takes a deeper dive into the topic of Deep Learning for a HEV application. It has been submitted, awaiting acceptance.
Citation Hespeler S, Fuqua D. Online State of Charge Prediction in Next Generation Vehicle Batteries Using Deep Recurrent Neural Networks and Continuous Model Size Control. Journal of Energy and Power Technology 2021;3(1):24; doi:10.21926/jept.2101003