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Ess-neofab

A line- and system-level record of ESS and secondary-battery manufacturing processes

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  • 한국어
  • English
  • Home
  • Process
  • System
  • Interface
  • Traceability
  • News & Trends
  • About
  • Contact

카테고리

  • Interface (28)
  • News & Trends (20)
  • Process (32)
  • System (31)
  • Traceability (22)

최근 글

  • Five million ACC cells equal 2.7 to 3.6 months of nameplate outputOctober 15, 2026
  • A 160 MW battery’s six-week commissioning has two baselinesOctober 8, 2026
  • Two Cycles a Day Take 106.8 % of a Day, and the Retention Tier Shifts Cell Volume by 1.47 GWhOctober 1, 2026
  • Battwoo’s Second-Life EV Batteries — When an 80 % Acceptance Threshold Overlaps the Retirement Distribution, Incoming Screening Becomes the BottleneckSeptember 30, 2026
  • US storage set an energy record in Q2 as installed power fell 7%September 29, 2026
  • CATL Starts Trial Production in Debrecen — The Digits of the Defect-Rate Target, Not the Equipment, Set the Length of a Trial RunSeptember 29, 2026
  • ESS 조립라인 침지냉각 병목과 병렬화 후 처리간격을 비교한 인포그래픽
    Interface,  Traceability

    ESS Assembly Line: Why Immersion Cooling Becomes a Bottleneck

    August 20, 2026 /

    This article addresses the line-balancing problem that arises when immersion cooling and AI cell monitoring are simultaneously integrated in-line into an ESS module-pack assembly line. Under the estimation scenario, the immersion-cooling station's process time is 135 s, exceeding the target module takt time of 92 s by 46.7%, making a bottleneck unavoidable with a single-station configuration. Parallelizing into 2 lines lowers the effective processing interval to 67.5 s, satisfying the takt-time condition, but this in turn raises the FIFO buffer size at the point where the two lines merge, and the module-serial tagging of AI monitoring data, as new interface risks. This estimation is a scenario based on assumed values…

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