Adaptive equivalent consumption minimization strategy for hybrid electric ship
Abstract In recent years, with the development of battery technology, hybrid electric ship (HES), as a promising solution to reduce the fuel consumption and emissions, has become a research hotspot. However, frequent use of the battery will accelerate the aging of the battery, and the replacement of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1060 |
| _version_ | 1819104104249556992 |
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| author | Diju Gao Haoyang Jiang Weifeng Shi Tianzhen Wang Yide Wang |
| author_facet | Diju Gao Haoyang Jiang Weifeng Shi Tianzhen Wang Yide Wang |
| author_sort | Diju Gao |
| collection | DOAJ |
| description | Abstract In recent years, with the development of battery technology, hybrid electric ship (HES), as a promising solution to reduce the fuel consumption and emissions, has become a research hotspot. However, frequent use of the battery will accelerate the aging of the battery, and the replacement of scrapped battery will increase the cost of the ship. Therefore, it is necessary to consider delaying battery aging into the energy control strategy of HES. The equivalent consumption minimization strategy (ECMS) is a feasible energy control strategy because it can be implemented in real time. However, under the condition of uncertain initial state of charge (SOC) of the battery, ECMS cannot effectively reduce the fuel consumption unless the equivalent factor (EF) is optimized in real time. In this paper, an adaptive equivalent consumption minimization strategy (A‐ECMS) is proposed, which extracts the global optimal EF trajectory from the dynamic programming (DP) solution and uses the back propagation (BP) neural network to adjust the EF in real time. A trade‐off between the fuel consumption and battery aging is made in the cost function by introducing a weight coefficient. Finally, the effectiveness and the adaptability of the proposed strategy are verified in MATLAB. |
| first_indexed | 2024-12-22T02:01:03Z |
| format | Article |
| id | doaj.art-54aeceea1d614167af2aa8a033270db4 |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-12-22T02:01:03Z |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-54aeceea1d614167af2aa8a033270db42022-12-21T18:42:39ZengWileyEnergy Science & Engineering2050-05052022-03-0110384085210.1002/ese3.1060Adaptive equivalent consumption minimization strategy for hybrid electric shipDiju Gao0Haoyang Jiang1Weifeng Shi2Tianzhen Wang3Yide Wang4Key Laboratory of Transport Industry of Marine Technology and Control Engineering Shanghai Maritime University Shanghai ChinaKey Laboratory of Transport Industry of Marine Technology and Control Engineering Shanghai Maritime University Shanghai ChinaKey Laboratory of Transport Industry of Marine Technology and Control Engineering Shanghai Maritime University Shanghai ChinaKey Laboratory of Transport Industry of Marine Technology and Control Engineering Shanghai Maritime University Shanghai ChinaInstitut d’Électronique et des Technologies du num éRique UMR CNRS 6164 Universite de Nantes Nantes FranceAbstract In recent years, with the development of battery technology, hybrid electric ship (HES), as a promising solution to reduce the fuel consumption and emissions, has become a research hotspot. However, frequent use of the battery will accelerate the aging of the battery, and the replacement of scrapped battery will increase the cost of the ship. Therefore, it is necessary to consider delaying battery aging into the energy control strategy of HES. The equivalent consumption minimization strategy (ECMS) is a feasible energy control strategy because it can be implemented in real time. However, under the condition of uncertain initial state of charge (SOC) of the battery, ECMS cannot effectively reduce the fuel consumption unless the equivalent factor (EF) is optimized in real time. In this paper, an adaptive equivalent consumption minimization strategy (A‐ECMS) is proposed, which extracts the global optimal EF trajectory from the dynamic programming (DP) solution and uses the back propagation (BP) neural network to adjust the EF in real time. A trade‐off between the fuel consumption and battery aging is made in the cost function by introducing a weight coefficient. Finally, the effectiveness and the adaptability of the proposed strategy are verified in MATLAB.https://doi.org/10.1002/ese3.1060adaptive equivalent consumption minimization strategybattery agingBP neural networkdynamic programminghybrid electric ships |
| spellingShingle | Diju Gao Haoyang Jiang Weifeng Shi Tianzhen Wang Yide Wang Adaptive equivalent consumption minimization strategy for hybrid electric ship Energy Science & Engineering adaptive equivalent consumption minimization strategy battery aging BP neural network dynamic programming hybrid electric ships |
| title | Adaptive equivalent consumption minimization strategy for hybrid electric ship |
| title_full | Adaptive equivalent consumption minimization strategy for hybrid electric ship |
| title_fullStr | Adaptive equivalent consumption minimization strategy for hybrid electric ship |
| title_full_unstemmed | Adaptive equivalent consumption minimization strategy for hybrid electric ship |
| title_short | Adaptive equivalent consumption minimization strategy for hybrid electric ship |
| title_sort | adaptive equivalent consumption minimization strategy for hybrid electric ship |
| topic | adaptive equivalent consumption minimization strategy battery aging BP neural network dynamic programming hybrid electric ships |
| url | https://doi.org/10.1002/ese3.1060 |
| work_keys_str_mv | AT dijugao adaptiveequivalentconsumptionminimizationstrategyforhybridelectricship AT haoyangjiang adaptiveequivalentconsumptionminimizationstrategyforhybridelectricship AT weifengshi adaptiveequivalentconsumptionminimizationstrategyforhybridelectricship AT tianzhenwang adaptiveequivalentconsumptionminimizationstrategyforhybridelectricship AT yidewang adaptiveequivalentconsumptionminimizationstrategyforhybridelectricship |