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Npj Comput. Mater.: ARCANA框架:电池寿命预测新方案
海归学者发起的公益学术平台 分享信息,整合资源 交流学术,偶尔风月 锂离子电池(LIBs)在支持设备电气化方面至关重要,但优化未来的电池仍面临挑战。其关键问题在于如何快速识别电池退化原因及防止容量过早衰减。由于非线性容量损失可能发生在数百或数千个周期内,探索电池材料退化机制费时耗力。另外,早期电池寿命预测的另一个挑战是阳极、阴极和电解质中电池化学成分的多样性,以及形状因子和电化学测试协议的多样性。
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