What question did this study set out to answer?

To formulate an empirical model incorporating multiple cell design parameters to accurately predict pathways for achieving battery energy densities exceeding 300 Wh kg–1.

February 13, 2020ACS Energy Letters

An Empirical Model for the Design of Batteries with High Energy Density

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Authors

YWYingqiang WuHainan University LXLeqiong XieHainan University HMHai MingInternational College of Defence Studies

Discussion

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Overview

Computational modeling reveals critical multiparameter constraints for reaching over 300 Wh kg–1 in rechargeable batteries, indicating that electrode capacity alone is insufficient for cell design.

Key Points

To formulate an empirical model incorporating multiple cell design parameters to accurately predict pathways for achieving battery energy densities exceeding 300 Wh kg–1.
Developed an empirical battery model integrating electrode capacities alongside areal loading density, operating voltage difference, anode-to-cathode initial capacity balance, and initial Coulombic efficiency.
Applied the multivariable framework to analyze current battery configurations and identify target parameter combinations capable of exceeding 300 Wh kg–1.
Demonstrated that high lithium storage capacity in electrode materials is insufficient on its own to achieve target cell energy densities without optimizing other design parameters.
Identified that multiparameter co-optimization of areal loading, voltage difference, capacity balance, and initial Coulombic efficiency can successfully yield battery designs delivering >300 Wh kg–1.

Cite This Study

Wu et al. (2020) studied this question.

synapsesocial.com/papers/69daab87a6045d71bfa3db61 https://doi.org/10.1021/acsenergylett.0c00211

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February 13, 2020ACS Energy Letters

An Empirical Model for the Design of Batteries with High Energy Density

View Full Paper

Ask AI

Bookmark

Authors

YWYingqiang WuHainan University LXLeqiong XieHainan University HMHai MingInternational College of Defence Studies

Discussion

Member takes

Overview

Computational modeling reveals critical multiparameter constraints for reaching over 300 Wh kg–1 in rechargeable batteries, indicating that electrode capacity alone is insufficient for cell design.

Key Points

To formulate an empirical model incorporating multiple cell design parameters to accurately predict pathways for achieving battery energy densities exceeding 300 Wh kg–1.
Developed an empirical battery model integrating electrode capacities alongside areal loading density, operating voltage difference, anode-to-cathode initial capacity balance, and initial Coulombic efficiency.
Applied the multivariable framework to analyze current battery configurations and identify target parameter combinations capable of exceeding 300 Wh kg–1.
Demonstrated that high lithium storage capacity in electrode materials is insufficient on its own to achieve target cell energy densities without optimizing other design parameters.
Identified that multiparameter co-optimization of areal loading, voltage difference, capacity balance, and initial Coulombic efficiency can successfully yield battery designs delivering >300 Wh kg–1.

Cite This Study

Wu et al. (2020) studied this question.

synapsesocial.com/papers/69daab87a6045d71bfa3db61 https://doi.org/10.1021/acsenergylett.0c00211

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