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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongqin Zhou Jinlei Sun Xudong Wang |
| Copyright Year | 2010 |
| Abstract | The problem of power battery state of charge estimation for hybrid vehicle directly affects the vehicle performance and driving distance.Considering there exists nonlinear relationship between the battery state of charge and the observable external characteristics,this paper presents a kind of algorithm which is based on the combination of genetic algorithm and back-propagation neural network namely GA-BP algorithm,taking full advantage of the strong capability of global search of genetic algorithm and the remarkable generalization performance of back-propagation neural network,the hybrid vehicle Ni-MH power battery GA-BP charging model is designed for the charging process.The simulation analysis shows that the network training speed is superior to the traditional BP network,after training the optimal solutions can be approximated in short time on the basis of real-time battery external characteristics being collected. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 289381 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479399 |
| ISSN | 21567387 |
| e-ISBN | 9781424479412 |
| DOI | 10.1109/ICIECS.2010.5678405 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Analytical models Estimation Artificial neural networks Data models Batteries System-on-a-chip |
| Content Type | Text |
| Resource Type | Article |
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