Failure‐Mechanism‐Driven Inverse Design and Optimization Procedure for Battery Lifetime Extension
Abstract
Abstract Precise design and optimization of lithium‐ion batteries (LIBs) remain challenging due to their intricate, dynamic degradation mechanisms and the competitive interactions. Building upon a mechanism‐driven LIB lifetime prediction model based on capacity degradation, we propose an inverse design and optimization procedure (IDOP) that integrates parameter sensitivity analysis (PSA) and multiobjective optimization (MOO). For modeling, we employ directly adjustable design parameters of the anode and electrolyte and indirectly derived interfacial characteristics of anode/electrolyte interface. The PSA results indicate that areal density, particle radius, and interface characteristics exert a significant influence on battery lifetime. Using data from a reference LiNi 0.6 Co 0.1 Mn 0.3 O 2 ||graphite pouch cell for assessment, the MOO predicts a battery lifetime extension of up to 26.63% (70.97%) and 32.76% (138.41%) at 25 and 45 °C by optimizing direct (indirect) factors, respectively. Evaluation of the MOO‐optimized factors using the failure‐mechanism‐driven model demonstrates remarkable alignment in capacity degradation trajectories. The IDOP framework is a promising approach to improve the design and optimization efficiency for developing better LIBs.
Article Details
Authors (8)
Ruyu Xi
Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High‐efficiency Energy Storage (Ministry of Education), College of Chemistry Nankai University Tianjin 300071 China
Yiyang Peng
Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering
Jinhan Li
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry
Kuiming Liu
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry
Meng Yao
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry
Meng Yu
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry
Jolyon Aarons
Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High‐efficiency Energy Storage (Ministry of Education), College of Chemistry Nankai University Tianjin 300071 China
Fangyi Cheng
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry