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Model Study on Integrated Thermal Management System of New Energy Bus

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13338))

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Abstract

As new energy vehicles are gradually popularized, the safety of new energy vehicles is also getting more and more attention, and the thermal management system, as the key to ensure the normal operation of new energy key assemblies, is also getting more and more attention in its related research. This thesis takes the plug-in new energy bus powertrain integrated thermal management system development project as the research object, starts from the powertrain thermal modeling analysis, studies the integrated thermal management system model design and intelligent control strategy, explores the method of considering practical factors used to establish the integrated thermal management system control model, takes the thermal management system’s lowest energy consumption as the main purpose, to determine the relevant parameters, and is used to optimize the system control strategy. The simulation and test platform is constructed to simulate and analyze the solved parameters, to guide the actual design for the selection and matching of system components and the verification of the real vehicle, to verify the feasibility of the intelligent control strategy, to optimize the system integration, and to provide reference for the development of new models or new systems.

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Correspondence to Bojing Cheng .

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Funding Statement

This research is supported by Natural Science Foundation of Hunan Province (2020JJ6093).

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Li, Z., Cheng, B., Wang, Y. (2022). Model Study on Integrated Thermal Management System of New Energy Bus. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_24

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  • DOI: https://doi.org/10.1007/978-3-031-06794-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06793-8

  • Online ISBN: 978-3-031-06794-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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