A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting
Battery energy storage is the pivotal project of renewable energy systems reform and an effective regulator of energy flow. Parallel battery packs can effectively increase the capacity of battery modules. However, the power loss caused by the uncertainty of parallel battery branch current poses seve...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8895496 |
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| _version_ | 1832550545918787584 |
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| author | Yanhui Zhang Shili Lin Haiping Ma Yuanjun Guo Wei Feng |
| author_facet | Yanhui Zhang Shili Lin Haiping Ma Yuanjun Guo Wei Feng |
| author_sort | Yanhui Zhang |
| collection | DOAJ |
| description | Battery energy storage is the pivotal project of renewable energy systems reform and an effective regulator of energy flow. Parallel battery packs can effectively increase the capacity of battery modules. However, the power loss caused by the uncertainty of parallel battery branch current poses severe challenge to the economy and safety of electric vehicles. Accuracy of battery branch current prediction is needed to improve the parallel connection. This paper proposes a radial basis function neural network model based on the pigeon-inspired optimization method and successfully applies the algorithm to predict the parallel branch current of the battery pack. Numerical results demonstrate the high accuracy of the proposed pigeon-inspired optimized RBF model for parallel battery branch forecasting and provide a useful tool for the prediction of parallel branch currents of battery packs. |
| format | Article |
| id | doaj-art-3fc66df944fe47e8a3fd37f3b30a9f40 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3fc66df944fe47e8a3fd37f3b30a9f402025-02-03T06:06:31ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88954968895496A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch ForecastingYanhui Zhang0Shili Lin1Haiping Ma2Yuanjun Guo3Wei Feng4CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaGuangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, ChinaDepartment of Electrical Engineering, Shaoxing University, Shaoxing 312000, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaBattery energy storage is the pivotal project of renewable energy systems reform and an effective regulator of energy flow. Parallel battery packs can effectively increase the capacity of battery modules. However, the power loss caused by the uncertainty of parallel battery branch current poses severe challenge to the economy and safety of electric vehicles. Accuracy of battery branch current prediction is needed to improve the parallel connection. This paper proposes a radial basis function neural network model based on the pigeon-inspired optimization method and successfully applies the algorithm to predict the parallel branch current of the battery pack. Numerical results demonstrate the high accuracy of the proposed pigeon-inspired optimized RBF model for parallel battery branch forecasting and provide a useful tool for the prediction of parallel branch currents of battery packs.http://dx.doi.org/10.1155/2021/8895496 |
| spellingShingle | Yanhui Zhang Shili Lin Haiping Ma Yuanjun Guo Wei Feng A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting Complexity |
| title | A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting |
| title_full | A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting |
| title_fullStr | A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting |
| title_full_unstemmed | A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting |
| title_short | A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting |
| title_sort | novel pigeon inspired optimized rbf model for parallel battery branch forecasting |
| url | http://dx.doi.org/10.1155/2021/8895496 |
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