Cristin-resultat-ID: 2025437
Sist endret: 20. mai 2022, 10:57
NVI-rapporteringsår: 2022
Resultat
Vitenskapelig artikkel
2022

Multi-Objective Thermal Optimization Based on Improved Analytical Thermal Models of a 30 kW IPT System for EVs

Bidragsytere:
  • Baokun Zhang
  • Junjun Deng
  • Wenbo Wang
  • Lantian Li
  • Zhenpo Wang
  • Shuo Wang
  • mfl.

Tidsskrift

IEEE Transactions on Transportation Electrification
ISSN 2577-4212
e-ISSN 2332-7782
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2022
Publisert online: 2022

Beskrivelse Beskrivelse

Tittel

Multi-Objective Thermal Optimization Based on Improved Analytical Thermal Models of a 30 kW IPT System for EVs

Sammendrag

Thermal design is particularly important for high-power and compact inductive power transfer (IPT) systems having limited surface area for heat dissipation. This paper presents the thermal design and optimization of a 30 kW IPT system for electric vehicles. An improved analytical thermal model with high accuracy for liquid-cooled magnetic couplers was proposed by using thermal network method (TNM). It considers heating components as well as thermal interface materials. Then multi-objective thermal optimization procedure of the liquid-cooled magnetic coupler was conducted with the presented model. Tradeoffs among temperature rise, weight, and cost were discussed and an optimized solution was selected. The thermal FE models were established and compared with the thermal networks. Subsequently, the thermal performance of the system at different power levels and misaligned conditions was analyzed. The experimental setup based on Fiber Bragg grating sensors was built, and the prototypes were tested with an output power of around 28 kW. The error of stable temperature between the experiment and the prediction was less than 10% at the measurement points, verifying the thermal models. The proposed thermal models and optimization procedure accelerate the thermal design of IPT systems, towards higher power density.

Bidragsytere

Baokun Zhang

  • Tilknyttet:
    Forfatter
    ved Beijing Institute of Technology

Junjun Deng

  • Tilknyttet:
    Forfatter
    ved Beijing Institute of Technology

Wenbo Wang

  • Tilknyttet:
    Forfatter
    ved Beijing Institute of Technology

Lantian Li

  • Tilknyttet:
    Forfatter
    ved Beijing Institute of Technology

Zhenpo Wang

  • Tilknyttet:
    Forfatter
    ved Beijing Institute of Technology
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