Non-destructive degradation pattern decoupling for early battery trajectory prediction via physics-informed learning

作者：Shengyu Tao, Mengtian Zhang, Zixi Zhao, Haoyang Li, Ruifei Ma, Yunhong Che, Xin Sun, Lin Su, Chongbo Sun, Xiangyu Chen, Heng Chang, Shiji Zhou, Zepeng Li, Hanyang Lin, Yaojun Liu, Wenjun Yu, Zhongling Xu, Han Hao, Scott Moura, Xuan Zhang, Yang Li, Xiaosong Hu, Guangmin Zhou · 发表于：Energy & Environmental Science · 年份：2025 · DOI：10.1039/d4ee03839h · 被引用次数：69 · 研究领域：Advanced Battery Technologies Research、Advancements in Battery Materials、Advanced battery technologies research

The paper proposes a physics-informed model to predict battery lifetime trajectories by computing thermodynamic and kinetic parameters, saving costly data that has not been established for sustainable manufacturing, reuse, and recycling.