Advanced battery modeling using neural networks /
Batteries have gained importance as power sources for electric vehicles. The main problem with the battery technology available today is that the design of the battery system has not been optimized for different applications. No comprehensive battery models are available today that can accurately...
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| Format: | Thesis eBook |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1993.
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| Online Access: | Link to OAKTrust copy |
| Summary: | Batteries have gained importance as power sources for electric vehicles. The main problem with the battery technology available today is that the design of the battery system has not been optimized for different applications. No comprehensive battery models are available today that can accurately predict the performance of the battery system. This thesis presents a modeling technique for batteries employing neural networks. The advantage of using neural networks is that the effect of any variable of the performance of the battery need not be known apriori. The neural network develops the model by corelating experimental data. A software model was developed and tested for lead acid batteries using this technique. The results obtained from the model when compared to experimental data showed that the technique was successful in modeling the performance of a lead acid battery module. |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | xi, 93 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |