Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm
Modeling of batteries is necessary to control their operating mode and diagnose their condition. It is important to model the life cycle, i. e. degradation of basic parameters over a long service life. This is due to the fact that the cost of buffering electricity by batteries is associated with the...
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| Format: | Article |
| Language: | Russian |
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Belarusian National Technical University
2022-12-01
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| Series: | Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика |
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| Online Access: | https://energy.bntu.by/jour/article/view/2213 |
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| author | K. V. Dobrego I. A. Koznacheev |
| author_facet | K. V. Dobrego I. A. Koznacheev |
| author_sort | K. V. Dobrego |
| collection | DOAJ |
| description | Modeling of batteries is necessary to control their operating mode and diagnose their condition. It is important to model the life cycle, i. e. degradation of basic parameters over a long service life. This is due to the fact that the cost of buffering electricity by batteries is associated with their cycling resource, which can be increased by optimizing the mode of operation of the drive in the energy system. The existing models of battery degradation are characterized by specificity, limited work on standardized charge-discharge cycles, and mathematical cumbersomeness. The article proposes a universal approach devoid of the above disadvantages. The concept of continuous battery wear during the service life is used. A simple empirical model is presented that does not consider in detail the characteristics of the state of batteries during a separate charge-discharge cycle, and does not include voltaic variables. The model considers the intensity of the current wear of the battery as a function of the state of its charge, temperature, the current of the external circuit and the current of self-discharge, the full charge that has flowed through the battery since the beginning of its operation. In this case, the amount of wear (degradation) is determined by the integral of the function of the intensity of current wear over the battery life. To optimize the parameters of the model, a random search method is used in combination with a genetic selection algorithm. The corresponding model of degradation of parameters for the Delta GEL-12-55 lead-acid battery has been constructed, in which the data on degradation of capacity given in the technical description from the manufacturer are used. The efficiency of the parameter optimization algorithm and the adequacy of the resulting model are shown. The model developed by the authors can be used for technical and economic calculations of generator – storage –consumer systems, hybrid power storage systems, and compact representation of large volumes of experimental data on the degradation of specific batteries. |
| format | Article |
| id | doaj-art-4a962be52ca042a3ade545ce44f369dd |
| institution | Kabale University |
| issn | 1029-7448 2414-0341 |
| language | Russian |
| publishDate | 2022-12-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика |
| spelling | doaj-art-4a962be52ca042a3ade545ce44f369dd2025-08-20T03:38:34ZrusBelarusian National Technical UniversityИзвестия высших учебных заведений и энергетических объединенний СНГ: Энергетика1029-74482414-03412022-12-0165648149810.21122/1029-7448-2022-65-6-481-4981827Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic AlgorithmK. V. Dobrego0I. A. Koznacheev1Belаrusian National Technical UniversityA. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of BelarusModeling of batteries is necessary to control their operating mode and diagnose their condition. It is important to model the life cycle, i. e. degradation of basic parameters over a long service life. This is due to the fact that the cost of buffering electricity by batteries is associated with their cycling resource, which can be increased by optimizing the mode of operation of the drive in the energy system. The existing models of battery degradation are characterized by specificity, limited work on standardized charge-discharge cycles, and mathematical cumbersomeness. The article proposes a universal approach devoid of the above disadvantages. The concept of continuous battery wear during the service life is used. A simple empirical model is presented that does not consider in detail the characteristics of the state of batteries during a separate charge-discharge cycle, and does not include voltaic variables. The model considers the intensity of the current wear of the battery as a function of the state of its charge, temperature, the current of the external circuit and the current of self-discharge, the full charge that has flowed through the battery since the beginning of its operation. In this case, the amount of wear (degradation) is determined by the integral of the function of the intensity of current wear over the battery life. To optimize the parameters of the model, a random search method is used in combination with a genetic selection algorithm. The corresponding model of degradation of parameters for the Delta GEL-12-55 lead-acid battery has been constructed, in which the data on degradation of capacity given in the technical description from the manufacturer are used. The efficiency of the parameter optimization algorithm and the adequacy of the resulting model are shown. The model developed by the authors can be used for technical and economic calculations of generator – storage –consumer systems, hybrid power storage systems, and compact representation of large volumes of experimental data on the degradation of specific batteries.https://energy.bntu.by/jour/article/view/2213electrochemical batterydegradation of batteriesbattery life cyclebattery service lifebattery simulationgenetic algorithmcontinuous battery wear |
| spellingShingle | K. V. Dobrego I. A. Koznacheev Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика electrochemical battery degradation of batteries battery life cycle battery service life battery simulation genetic algorithm continuous battery wear |
| title | Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm |
| title_full | Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm |
| title_fullStr | Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm |
| title_full_unstemmed | Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm |
| title_short | Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm |
| title_sort | universal simulation model of battery degradation with optimization of parameters by genetic algorithm |
| topic | electrochemical battery degradation of batteries battery life cycle battery service life battery simulation genetic algorithm continuous battery wear |
| url | https://energy.bntu.by/jour/article/view/2213 |
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