【本文關鍵詞:分布式IO模塊、 鋰電池制造、 新能源汽車 、西門子PLC、 歐姆龍PLC 、三菱PLC 、臺達PLC 、施耐德PLC 、Modbus、 MQTT 、OPC 、 Profinet 、EtherCAT 、Ethernet/IP 、BACnet/IP】

 

 

快速響應 高度穩定 分布式IO模塊在鋰電池制造的優勢揭秘

 

 

在“碳達峰、碳中和”目標推動下,新能源汽車當下發展勢頭正盛,而純電動車的核心部件則是:鋰電池。動力型鋰電池作為新能源汽車核心零部件,其發展與新能源汽車行業息息相關,迎來廣闊的市場空間。

鋰電池制造過程各環節的標準要求,將直接影響電池的成本、質量、安全以及一致性。鋰電池的生產工藝分為前、中、后三個階段,前段工序的目的是將原材料加工成為極片,核心工序為涂布;中段目的是將極片加工成為未激活電芯;后段工序是檢測封裝,核心工序是化成、分容。整個鋰電池生產工序復雜、體系龐大。I/O點數多,要求調試方便,標準化程度高,重復的模塊較多,繼而數據采集的位置多而分散,所以采用分布式I/O模塊最為合適。

 

分布式I/O模塊

鋇錸為鋰電池設備制造商及系統集成商提供的分布式I/O模塊,憑借操作和功能兩方面的優勢大幅提升了設備品質,為其快速采集和反饋調節提供了強大助力,縮短了交付時間,降低了總體成本。

方案

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" />

獨特優勢

高速系統總線:支持Modbus、MQTT、OPC UA、Profinet、EtherCAT、Ethernet/IP、BACnet/IP等多種協議以實現地區及全球使用。

豐富I/O信號接入:一個耦合器最多可以掛載32個I/O模塊512個信號點,強大的擴展能力。

數據上云:對上支持西門子、歐姆龍、三菱、臺達、施耐德等品牌的PLC,也支持Modbus TCP、OPC UA、MQTT三種通信協議對接云平臺。

雙網口級聯:2個RJ45口,可以實現級聯,采集信號數量不受限制。

 

 

 

 

應用案例

涂布機

涂布的主要目的是將漿料均勻地涂覆在正負極表面上。本案例實現數字化,放卷、涂布、烘干、收卷均自動完成。

方案拓撲圖

  方案優勢

 

張力控制:張力控制會采用不同的傳感器,如超聲波探頭,浮輥等,I/O模塊可以實現這些傳感器與PLC的穩定接線和即插即用,在任何時間更換模塊都無需更改布線。

傳輸穩定:精確的涂布速度使得漿料利用率高、能夠保持生產高品質極片。其高速的系統總線提供了毫秒級的快速響應時間。

耐受惡劣的工業條件:面對現場溫度變化,BL200模塊的寬溫設計可以始終保持穩定工作,功能使用流暢自如。

 

省心細節為鋰電池生產助力

I/O模塊在設計細節中帶來靈活便利,同樣是研發優化產品的重要思路。在結構上,BL200 I/O模塊采用插拔式設計,設備商可以根據需要自由組合I/O模塊,相比傳統的連線方式節約時間高達50%。且耦合器體積小,不占空間。在安裝上,采用導軌式安裝,簡單便捷。