Enhancing the lithium-ion battery life predictability using a hybrid method
This study contributes to proposing the improved bird swarm algorithm optimization least squares support vector machine (IBSA-LSSVM) model to predict the remaining life of lithium-ion batteries. By improving the prediction accuracy of the model, the safety and reliability of the new energy storage s...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2019
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2137 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3136/type/native/viewcontent |
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| Institution: | De La Salle University |