アプリケーションギャラリ

Rechargeable lithium-air batteries have recently attracted great interest mainly due to their high energy density. The theoretical value is about 11400 Wh/kg which is around 10 times greater than the lithium-ion batteries. In this tutorial, discharge of a lithium-air battery is ... 詳細を見る

Lithium iron phosphate (LFP) is a common positive electrode material in lithium-ion batteries. Specific for the LFP electrode material is that its equilibrium (open circuit) potential, when defined as a function of the lithiation state, features a large flat plateau with a more or less ... 詳細を見る

Some positive electrode materials are known to deteriorate in overcharged lithium-ion battery cells. Predominantly, manganese containing electrode materials such as LMO and NMC can loose capacity due to manganese dissolving from the materials at overcharge. This decomposition is a ... 詳細を見る

Due to its high capacity, silicon (Si) is often added to graphite in the negative electrode of lithium-ion batteries. Silicon–graphite blended electrodes may exhibit significant thermodynamic voltage hysteresis (“path dependence”) because the equilibrium potential of the lithium–silicon ... 詳細を見る

リチウムイオン電池の負極グラファイト電極上の銅コレクターは, 過放電時に溶解することが確認されています. 溶解により集電体が不可逆的に損傷し, 溶解した銅イオンが再析出してデンドライトを形成する可能性があるため, 安全上の懸念事項となります. 電池は通常, 過放電を回避するために, セルレベルまたはパックレベルのいずれかで指定された電圧制限内で動作します. しかし, パック内では個々のセル間の電荷不均衡により, あるいはこのチュートリアルで部分的に調査するように, 単一の電池セル内の電極の局所的な不均一性により, 過放電が発生する可能性があります. ... 詳細を見る

In a lithium metal battery, lithium metal is deposited during charging on the negative electrode. Mass transport and ohmic effects in the electrolyte cause small protrusions on the metal surface to be subjected to accelerated growth during charging. In worst case scenarios, this leads to ... 詳細を見る

このアプリは, 電池テストサイクル中の NMC111/グラファイトバッテリセルのセル電圧, セル開放電圧, および内部抵抗を予測するための代理モデル関数の使用方法を示します. 代理関数 (ディープニューラルネットワーク) は, 入力データ値のサブセットに適合されています. 入力データ値は, サイクルの4つのセグメントにおける電流とバッテリセルの初期充電状態の5つを設定できます. 代理関数の評価にかかる計算コストが低いため, ノブを使用して入力値を対話的に組み合わせ, セル電圧と内部抵抗を予測できます. 値の組み合わせを選択したら, ... 詳細を見る

This app demonstrates the usage of a surrogate model function for predicting the rate capability of an NMC111/graphite battery cell. The rate capability is shown in a Ragone plot. The surrogate function, a Deep Neural Network, has been fitted to a subset of the possible input data ... 詳細を見る

Battery electrodes featuring large heterogeneities in terms of particle sizes may sometimes not be adequately described by homogenized models using one single particle size only. As an alternative to adding multiple instances of the Additional Porous Electrode material node, this ... 詳細を見る

A simple equivalent circuit model approach is presented for Nickel metal hydride batteries. The 0D model consists of resistor, capacitor, current source and state-of-charge based voltage source (SOC). An Arrhenius type dependence is used to account for self-discharge. All model ... 詳細を見る