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Experimental study on dual-heat-source collaborative optimization of vehicle CO2 thermal management system using integrated multi-strategy closed-loop algorithm.

Auteurs : TENG H., LI M., LI Y., SU H., XIONG S., LU C., FENG X., JIANG Y.

Type d'article : Article de la RIF

Résumé

To address the bottleneck of low-temperature performance of CO2 air source heat pump (ASHP) mode, this study utilizes system waste heat to elevate the evaporation temperature and pressure, thereby reducing the compressor’s pressure ratio and improving the heating performance. This research elucidates the influence mechanism of dual source heat pump (DSHP) coupling on the system coefficient of performance (COP) under different regulatory factors. A coupling mathematical model integrating the volumetric flow rate of indoor air, supply air temperature, ambient temperature, and waste heat power was constructed, enabling the prediction of the heating COP and quantitatively revealing the interaction patterns among variables. To achieve optimal COP, a multistrategy closed-loop optimized honey badger algorithm (OHBA) is proposed, which enhances the convergence performance of nonlinear optimization through a closed-loop collaborative mechanism incorporating Sine chaotic mapping, monarch genetic strategy, and chaotic adaptive mutation operator. Furthermore, the range improvement effect of the DSHP mode with OHBA was evaluated and analyzed in cities with different typical
low-temperature climate characteristics. The results indicate that under a fixed supply air temperature of 45 ◦C, the COP of the DSHP mode is enhanced by 19.5% to 23.9% compared to the ASHP mode. Notably, the COP of the DSHP at -20 ◦C is comparable to that of the ASHP at -5 ◦C, thereby expanding the operating range of the system. Compared with the original algorithm, OHBA improves the heating COP by an average of 3.6%. Addition, the driving range of DSHP with OHBA increased by 12.9% to 14.5% compared to ASHP.

Documents disponibles

Format PDF

Pages : 14 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    Gratuit

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Experimental study on dual-heat-source collaborative optimization of vehicle CO2 thermal management system using integrated multi-strategy closed-loop algorithm.
  • Identifiant de la fiche : 30034774
  • Langues : Anglais
  • Sujet : Technologie
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 185
  • Date d'édition : 05/2026
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2026.02.024

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