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May 6, 20260 citationsOpen Access

Analyzing Effects of Cell to Chassis Technology on Road Noise of Skateboard Sharing Vehicles

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XXXueying XuInstitute of Contemporary HistoryXWXiaoming WangInstitute of Contemporary HistoryCMCaijun MaInstitute of Acoustics

Key Points

  • This research investigates the impact of Cell-to-Chassis technology on road noise and overall vehicle performance.
  • Conducted theoretical static stiffness analysis
  • Applied finite element dynamic stiffness modeling
  • Executed in-vehicle stiffness testing
  • Performed road noise measurements at 60 km/h on rough asphalt
  • CTC structure demonstrated to be 20 times stiffer than conventional CTP systems within 20-300 Hz
  • In-vehicle tests showed no correlation between local dynamic stiffness and interior noise peaks
  • Validation of effective simulation method for assessing floor stiffness

Abstract

While most Noise, Vibration, and Harshness (NVH) research on electric vehicles (EVs) focuses on conventional Cell-to-Pack (CTP) systems, the impact of Cell-to-Chassis (CTC) structures remains under-explored. A concern is that CTC architectures may compromise NVH due to the absence of a dedicated floor panel. This study investigates this concern using a comprehensive methodology: theoretical static stiffness analysis, finite element (FE) dynamic stiffness modeling, in-vehicle stiffness testing, and road noise measurements (60 km/h, rough asphalt). Simulations show the CTC structure is 20 times stiffer than a conventional CTP floor system across the 20-300 Hz frequency range, consistent with theory. Experimental in-vehicle tests reveal no correlation between local dynamic stiffness and interior noise peaks in the primary road noise frequency range (20-300 Hz). This research validates an effective simulation method for floor stiffness and demonstrates that the CTC structure’s high dynamic stiffness enables cost and weight reductions by eliminating the need for traditional floor ribs and damping layers.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69fa8eca04f884e66b5311a5https://doi.org/10.5281/zenodo.20027405
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