John C. BernardKenneth J. TakeuchiEsther S. TakeuchiAmy C. MarschilokAlan C. West
While Lithium-ion batteries dominate high-energy-density applications, their reliance on scarce and expensive materials poses a challenge for large-scale renewable energy storage. Aqueous Zinc/Manganese Oxide (Zn/MnO2) batteries, utilizing abundant and cost-effective materials, emerge as a viable alternative. However, the lack of understanding of their fundamental reaction mechanisms hampers their optimization and commercialization. In this study, we present a physics-based model to aid in elucidating the reaction mechanisms governing Zn/MnO2 batteries. When coupled with statistical parameter estimation, the model accurately replicates the discharge behavior across various C-rates and offers predictive insights into the underlying phenomena. Our findings inform the design of future targeted experiments and lay the groundwork for in-depth mechanistic studies. Moreover, the model serves as a tool for in-silico optimization, accelerating the path to commercial viability.
John C. BernardZhongling WangShan YanEsther S. TakeuchiAmy C. MarschilokKenneth J. TakeuchiAlan C. West
S.J. ParkHee‐Sun ShinY.C. KimC.S. Oh
Ping ShenYuanyuan HuShanguo JiHao LuoCuiping ZhaiKai Yang
Hao ChenHaizhu KuangFan LiuYuanke WuShinan CaiMaowen XuShu‐Juan Bao