The state of charge estimation for rechargeable batteries based on artificial neural network techniques
This paper presents an adaptive state of charge estimator for rechargeable batteries using
the artificial neural network technique. That technique is based on that the charging current …
the artificial neural network technique. That technique is based on that the charging current …
The state of charge estimation for rechargeable batteries using Adaptive Neuro Fuzzy Inference System (ANFIS)
HM Fekry, MAM Hassan… - 2012 First International …, 2012 - ieeexplore.ieee.org
This paper presents an adaptive state of charge estimator for rechargeable batteries using
the Adaptive Neuro Fuzzy Inference System (ANFIS). That technique is based on that the …
the Adaptive Neuro Fuzzy Inference System (ANFIS). That technique is based on that the …
Integrated energy system planning with distributed generation based on emergy theory
There are complex coupling characteristics between energy sources in integrated energy
systems. Reasonable planning of coupling equipment effectively improves the renewable …
systems. Reasonable planning of coupling equipment effectively improves the renewable …
[BOOK][B] Experimental validation of voltage-based state-of-charge algorithm for power batteries
Z Jia - 2013 - search.proquest.com
Abstract State-of-Charge (SOC) is a key to modeling and managing the battery system.
Several algorithms have been developed to calculate the OCV (open-circuit voltage) based …
Several algorithms have been developed to calculate the OCV (open-circuit voltage) based …