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Research on BP Prediction Algorithm for Optimal Tilt Angle of Ship Photovoltaic Panel
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Yansong BAI1, Guorong LI2, Dayou CAO2, Yan ZHOU1
Electric Drive | 2025, 55(2) : 41 - 47
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Electric Drive | 2025, 55(2): 41-47
Research on BP Prediction Algorithm for Optimal Tilt Angle of Ship Photovoltaic Panel
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Yansong BAI1, Guorong LI2, Dayou CAO2, Yan ZHOU1
Affiliations
  • 1 School of Automation and School of Artificial Intelligence，Nanjing University of Posts and Telecommunications，Nanjing 210023，Jiangsu，China
  • 2 China Merchants Jinling Shipbuilding （Nanjing）Co.，Ltd.，Nanjing 210000，Jiangsu，China
Published: 2025-02-20 doi: 10.19457/j.1001-2095.dqcd25523
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Owing to the influence of wave fluctuation，the output power of ship photovoltaic（PV）power generation system is in the state of fluctuation，which significantly affects the quality of electricity and the reliability of power supply，and the sun-tracking algorithm of the land-based PV system fails to adapt to the operating conditions of ships. An optimal tilt angle predictive method of PV panels under the working conditions of marine vessels was proposed，which took into account the influence of wave fluctuation and sun position change on the output power of ship PV power generation system，analyzed the fluctuation characteristics of the output power curves under the same solar altitude angle，different solar radiation energy and temperature conditions during the rocking cycle of the ship，and predicted the optimal working angle of photovoltaic panels by using BP neural network to adjust the PV panel to improve the output power fluctuation and increase the output power. It is illustrated that the mean absolute percentage error （MAPE）of the proposed method is less than 0.6% and the root mean square error （RMSE）is less than 0.1，the reliability of the proposed method was verified.

ship rocking  /  BP neural network  /  optimal tilt angle  /  standardization  /  output power suppression
Yansong BAI, Guorong LI, Dayou CAO, Yan ZHOU. Research on BP Prediction Algorithm for Optimal Tilt Angle of Ship Photovoltaic Panel[J]. Electric Drive, 2025 , 55 (2) : 41 -47 . DOI: 10.19457/j.1001-2095.dqcd25523
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Year 2025 volume 55 Issue 2
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Article Info
doi: 10.19457/j.1001-2095.dqcd25523
  • Receive Date：2023-11-28
  • Online Date：2025-10-29
  • Published：2025-02-20
Article Data
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History
  • Received：2023-11-28
  • Revised：2024-01-05
Affiliations
    1 School of Automation and School of Artificial Intelligence，Nanjing University of Posts and Telecommunications，Nanjing 210023，Jiangsu，China
    2 China Merchants Jinling Shipbuilding （Nanjing）Co.，Ltd.，Nanjing 210000，Jiangsu，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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