EV / New EnergyOEM body / battery pack / seat Tier 1
Battery Pack / Structural-Part Buzz-Squeak-Rattle (BSR) Investigation
01
Pain Points
- !In a quiet EV cabin, the creaks and clacks of the battery pack and structural parts are especially jarring and draw complaints.
- !Rattles are sporadic transients buried in long recordings; listening segment by segment is time-consuming and misses cases.
- !"This clack is more annoying" lacks a comparable, locatable objective basis.
02
The Tinia Approach
Auto-capture transient rattles + band prominence + Sharpness/Roughness characterization + operating-condition alignment to locate the trigger — switch parts by changing only the channel and band.
Capture transient rattlesHighlight rattle bandSharpness + RoughnessOperating-condition alignmentArrange by condition
03
Nodes Used
Active Segment Detectionactive_segment
Auto-capture transient rattle eventsIIR Filteriir_filter
Highlight the rattle bandSharpnesssharpness
Characterize harshnessRoughnessroughness
Characterize the coarse / clacking qualityIndicator Mathindicator_math
Align event frequency / intensity with operating conditionChart Viewerchart_viewer
Arrange and locate events by operating conditionCore nodes; add or remove steps as needed for your data and standards — the node graph is always editable.
04
Expected Output
- A rattle-event list (time / band / psychoacoustic intensity).
- Identification of the excitation condition that triggers the rattle.
- A comparable objective rattle score that replaces part of the subjective description.
Reference Standards / Engineering PracticeEngineering practice (BSR evaluation framework)
Want to run this workflow on your own data?
Request a Trial