Improved recurrent NARX neural network model for state of charge estimation of lithium-ion battery using pso algorithm
This paper aims to develop an accurate estimation technique for computing state of charge (SOC) of a lithium-ion battery using recurrent neural network algorithm. Nonlinear autoregressive with exogenous input (NARX) model is a well-known subclass of the recurrent neural network which has proven to b...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2018
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/10632 |
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