Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles
This chapter presents a methodology to optimize the capacity and power of the ultracapacitor (UC) energy storage device and also the fuzzy logic supervision strategy for a battery electric vehicle (BEV) equipped with electrochemical battery (EB). The aim of the optimization was to prolong the EB lif...
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| Format: | Online |
| Language: | English |
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InTechOpen
2021
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| Online Access: | ONIX_20210602_10.5772/62587_274 |
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| _version_ | 1869522312596815872 |
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| author | Breban, Stefan |
| author_browse | Breban, Stefan |
| author_facet | Breban, Stefan |
| author_sort | Breban, Stefan |
| collection | Directory of Open Access Books |
| description | This chapter presents a methodology to optimize the capacity and power of the ultracapacitor (UC) energy storage device and also the fuzzy logic supervision strategy for a battery electric vehicle (BEV) equipped with electrochemical battery (EB). The aim of the optimization was to prolong the EB life and consequently to permit financial economies for the end-user of the BEV. Eight variables were used in the optimization process: two variables that control the energy storage capacity and power of the UC device and six variables that change the membership functions of the fuzzy logic supervisor. The results of the optimization, using a genetic algorithm from MATLAB®, are showing an increase of the financial economy of 16%. |
| format | Online |
| id | doab-20.500.12854ir-70183 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | InTechOpen |
| publisherStr | InTechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-701832024-04-04T14:41:16Z Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles Breban, Stefan Genetic algorithm optimization, battery electric vehicle, fuzzy logic, ultracapacitor, electrochemical battery thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization This chapter presents a methodology to optimize the capacity and power of the ultracapacitor (UC) energy storage device and also the fuzzy logic supervision strategy for a battery electric vehicle (BEV) equipped with electrochemical battery (EB). The aim of the optimization was to prolong the EB life and consequently to permit financial economies for the end-user of the BEV. Eight variables were used in the optimization process: two variables that control the energy storage capacity and power of the UC device and six variables that change the membership functions of the fuzzy logic supervisor. The results of the optimization, using a genetic algorithm from MATLAB®, are showing an increase of the financial economy of 16%. 2021-02-10T12:58:18Z 2021-06-02T10:08:05Z 2016 chapter ONIX_20210602_10.5772/62587_274 https://library.oapen.org/handle/20.500.12657/49160 https://directory.doabooks.org/handle/20.500.12854/70183 eng open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/49160/1/50204.pdf https://library.oapen.org/bitstream/20.500.12657/49160/1/50204.pdf InTechOpen 10.5772/62587 10.5772/62587 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access |
| spellingShingle | Genetic algorithm optimization, battery electric vehicle, fuzzy logic, ultracapacitor, electrochemical battery thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization Breban, Stefan Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title | Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title_full | Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title_fullStr | Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title_full_unstemmed | Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title_short | Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles |
| title_sort | chapter genetic algorithm optimization of an energy storage system design and fuzzy logic supervision for battery electric vehicles |
| topic | Genetic algorithm optimization, battery electric vehicle, fuzzy logic, ultracapacitor, electrochemical battery thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization |
| topic_facet | Genetic algorithm optimization, battery electric vehicle, fuzzy logic, ultracapacitor, electrochemical battery thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization |
| url | ONIX_20210602_10.5772/62587_274 |
| work_keys_str_mv | AT brebanstefan chaptergeneticalgorithmoptimizationofanenergystoragesystemdesignandfuzzylogicsupervisionforbatteryelectricvehicles |