End of discharge prediction;
SMART BATTERY MANAGEMENT


Proposed Model
Neural networks adaptable on-line on external conditions
and individual battery behavior



Discharge curves   The proposed system is composed of two neural networks.
  - the first model is a simple model of a discharge curve;
  - the second one is responsible for selecting the best internal parameters of the first net wrt contextual information.
This second is also able to adapt itself on-line to the behavior of the actual battery currently used.
The proposed Model: two neural nets    


Ageing effect   This figure display one particular weight of the first net, which is also the output of the second net.
One neural weight for different training conditions (battery, cycle)    

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