新国标时代

来源：市场资讯

（来源：曼恩斯特）

2026 年 7 月 1 日，被称为 "史上最严电池安全令" 的 GB 38031-2025 正式实施。热扩散测试从 “5 分钟逃生” 升级为 “2 小时不起火、不爆炸”，动力电池安全标准再上台阶。

高安全不仅依赖材料与设计，更离不开制造过程的一致性控制。一卷极片从涂布到辊分，每道工序产生的细微偏差会被逐步放大，最终影响整包安全。因此，在线测量正成为质量控制向制造前端延伸的关键支撑。

01

涂布与辊分

两大关键工序的在线检测方案

极片制造是动力电池一致性的源头，而涂布定形、辊分定型—— 两道工序一前一后，共同决定着极片的最终品质。

//涂布：从“抽检”走向“全过程监测”

随着高速涂布、宽幅极片、高面密度电池不断发展，传统抽检方式在检测覆盖率、基材波动以及漏箔等微小缺陷识别能力方面，已难以满足高一致性制造需求。

针对上述难题，曼恩斯特构建了覆盖湿膜/干膜面密度、干膜厚度、A/B面同步检测、边缘检测及CCD视觉检测等关键检测节点的在线测量方案，实现涂布全过程质量监测。

涂布工序应用

①②④ 面密度检测（正/负极基材、A/B面干/湿膜）

③⑤ 边缘厚度检测（面密度仪/激光射线一体机）

⑥⑦ CCD检测（A/B面干/湿膜尺寸、面边缘对齐度）

⑧ CCD缺陷检测（A/B面）

其中，全检面密度仪实现100%全域覆盖检测，通过多工位同步测量协同监测湿膜/干膜面密度与基材厚度，同步精度±2 mm，精准输出净涂层面密度，有效消除基材波动带来的测量误差。

视觉检测系统（左），激光射线一体机（中）

全检面密度仪（右）

同时，系统基于多参数关联分析，将检测数据实时反馈至模头控制系统，实现“实时检测—偏差分析—实时调节”智能闭环，让工艺调整由经验驱动转变为数据驱动。

//辊分：从“质量验证”迈向“闭环控制”

极片经过干燥、辊压、收放卷及分切后，厚度、尺寸及边缘状态仍可能发生变化，因此辊分工序承担着最终质量验证的重要职责。

辊分工序应用

① 激光/射线检测系统（辊压后极片厚度、面密度、边缘削薄）

②③ CCD视觉检测（正/负极极片缺陷、分切尺寸）

随着极片厚度控制进入微米级时代，传统检测方式已难以满足高速宽幅产线需求。针对厚度波动、轧辊变形、分切毛刺及尺寸偏差等问题，曼恩斯特采用激光/射线在线测厚系统与CCD视觉检测系统，实现厚度、尺寸及外观缺陷同步在线检测。

激光在线测厚仪（左）、视觉检测系统（中）

激光射线一体机（右）

其中，激光在线测厚仪测量精度达±0.3 μm，最小分辨率0.01 μm，厚度数据实时反馈形成闭环控制，实现辊缝/辊压力/弯缸压力自动调节；CCD视觉系统同步完成边缘位置、分切尺寸及表面缺陷检测，并自动完成尺寸纠偏，为后续卷绕、叠片等工序提供稳定可靠的极片质量保障。

02

从单点检测到

全流程闭环控制体系

围绕涂布与辊分两大关键工序，曼恩斯特实现了检测数据互联互通。系统通过CCD视觉检测完成边缘位置、涂布边界、表面缺陷及分切尺寸的在线检测，并自动完成尺寸偏差分析与纠偏控制；NG标签联动功能可实时标记异常产品，为后续精准排废和质量追溯提供可靠依据。

与此同时，所有检测数据支持接入MES系统，实现检测数据、工艺参数及生产信息一体化管理，并支持全流程质量追溯、CPK、MAX/MIN等统计分析及工艺持续优化，并集成数据分析、测量系统分析的工具，为AI质检和智能工厂建设提供坚实的数据基础。

从源头监测涂布质量，到末端验证极片品质，在线测量让质量管理由"事后检验"升级为"过程控制"，推动动力电池制造向更加稳定、高效、可追溯的方向发展。

03

以全过程质量检测

助力高质量制造

目前，曼恩斯特在线测量解决方案已在国内多家头部动力电池企业实现稳定应用，覆盖高速涂布、辊分（辊压分切）等关键制造环节，为高能量密度、快充及储能电池制造提供全过程质量保障。

从 “事后检验” 到 “全程可控”，在线测量正在重塑动力电池的质量管控范式。曼恩斯特以覆盖涂布、辊分全工序的一站式测量解决方案，为电池安全筑牢第一道制造防线。

未来，曼恩斯特将持续聚焦极片制造关键工序，以覆盖全过程的一站式在线测量解决方案，助力客户构建更加稳定、高效、可追溯的质量管理体系，为动力电池高质量发展提供可靠支撑。

On July 1, 2026, GB 38031-2025, known as the “strictest battery safety mandate in history,” officially took effect. The thermal runaway propagation test has been upgraded from a “5-minute escape” requirement to “no fire, no explosion for 2 hours,” raising the bar for power battery safety standards once again.

High safety relies not only on materials and design but also critically on consistency control throughout the manufacturing process. For a roll of electrode, from coating to calendering and slitting, the minute deviations generated at each process step are progressively magnified and ultimately impact the safety of the entire pack. As a result, inline measurement is becoming a key enabler for extending quality control to the front end of manufacturing.

Inline Inspection Solutions for Two Critical Processes: Coating and Calendering/Slitting

Electrode manufacturing is the source of power battery consistency. Coating defines the shape, while calendering and slitting finalize it—these two sequential processes together determine the ultimate quality of the electrode.

Coating: From “Spot Inspection” to “Full-Process Monitoring”

With the continuous advancement of high-speed coating, wide-format electrodes, and high areal density batteries, traditional spot inspection methods can no longer meet the demands of high-consistency manufacturing in terms of inspection coverage, substrate fluctuation, and the ability to identify micro-defects such as missing foil.

To address these challenges, MANST has built an inline measurement solution covering key inspection points including wet/dry film areal density, dry film thickness, simultaneous A/B side inspection, edge inspection, and CCD visual inspection, enabling full-process quality monitoring of the coating operation.

Among these, the 100% full-inspection areal density gauge achieves complete full-area coverage. Through multi-station synchronous measurement, it simultaneously monitors wet/dry film areal density and substrate thickness with a synchronization accuracy of ±2 mm, accurately outputting the net coating areal density and effectively eliminating measurement errors caused by substrate fluctuation.

Furthermore, based on multi-parameter correlation analysis, the system feeds inspection data back to the slot-die control system in real time, realizing an intelligent closed loop of “real-time inspection—deviation analysis—real-time adjustment” and transforming process adjustments from experience-driven to data-driven.

Calendering and Slitting: From “Quality Verification” to “Closed-Loop Control”

After drying, calendering, winding/unwinding, and slitting, the electrode’s thickness, dimensions, and edge condition may still change; therefore, the calendering and slitting process bears the important responsibility of final quality verification.

As electrode thickness control enters the micron-level era, traditional inspection methods can no longer satisfy the requirements of high-speed, wide-format production lines. To address issues such as thickness variation, roller deformation, slitting burrs, and dimensional deviations, MANST employs laser/radiation inline thickness measurement systems and CCD visual inspection systems to achieve simultaneous online inspection of thickness, dimensions, and appearance defects.

The laser inline thickness gauge offers a measurement accuracy of ±0.3 μm and a minimum resolution of 0.01 μm. Real-time thickness data feedback forms a closed-loop control that automatically adjusts roll gap, rolling force, and bending cylinder pressure. Meanwhile, the CCD vision system simultaneously performs edge position, slitting dimension, and surface defect inspection, and automatically carries out dimensional correction, providing stable and reliable electrode quality assurance for subsequent processes such as winding and stacking.

From Single-Point Inspection to a Full-Process Closed-Loop Control System

Centered on the two critical processes of coating and calendering/slitting, MANST has achieved interconnectivity of inspection data. The system uses CCD visual inspection to perform online detection of edge position, coating boundary, surface defects, and slitting dimensions, and automatically completes dimensional deviation analysis and correction control. The NG tag linkage function can mark abnormal products in real time, providing a reliable basis for subsequent precise rejection and quality traceability.

At the same time, all inspection data can be connected to the MES, enabling integrated management of inspection data, process parameters, and production information. It supports full-process quality traceability, statistical analysis such as CPK and MAX/MIN, and continuous process optimization, while integrating data analysis and measurement system analysis (MSA) tools. This provides a solid data foundation for AI-based quality inspection and smart factory construction.

From monitoring coating quality at the source to verifying electrode quality at the end, inline measurement upgrades quality management from “post-process inspection” to “in-process control,” driving power battery manufacturing toward greater stability, efficiency, and traceability.

Enabling High-Quality Manufacturing with End-to-End Online Inspection

MANST’s inline measurement solutions are already stably deployed in multiple leading domestic power battery manufacturers, covering critical manufacturing steps such as high-speed coating and calendering/slitting (calendering and slitting), and delivering full-process quality assurance for the production of high-energy-density, fast-charging, and energy storage batteries.

From “post-process inspection” to “full-process controllability,” inline measurement is reshaping the quality control paradigm for power batteries. With its one-stop measurement solution covering the entire coating and calendering/slitting processes, MANST is building a solid first line of defense for battery safety at the manufacturing stage.

Looking ahead, MANST will continue to focus on the critical processes of electrode manufacturing. Through its one-stop inline measurement solution that spans the entire process, the company helps customers build a more stable, efficient, and traceable quality management system, providing reliable support for the high-quality development of power batteries.

编辑 | 阿聪

审核 | 魏小姐