Research on Energy Management Strategy of Fuel Cell Electric Tractor Based on Multi-Algorithm Fusion and Optimization
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- Ganesh, Akhil Hannegudda & Xu, Bin, 2022. "A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
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Cited by:
- Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.
- Hyoung-Jong Ahn & Young-Jun Park & Su-Chul Kim & Chanho Choi, 2023. "Theoretical Calculations and Experimental Studies of Power Loss in Dual-Clutch Transmission of Agricultural Tractors," Agriculture, MDPI, vol. 13(6), pages 1-16, June.
- Valerio Martini & Francesco Mocera & Aurelio Somà, 2022. "Numerical Investigation of a Fuel Cell-Powered Agricultural Tractor," Energies, MDPI, vol. 15(23), pages 1-19, November.
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Keywords
fuel cell; energy management; power following strategy; fuzzy logic control strategy; tabu search algorithm;All these keywords.
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