Cross-national and cross-sectoral dynamics of innovation policies: The case of lithium-ion battery technology for electric vehicles in the U.S. and China

Kamikawa, Yuki; Brummer, Matthew

doi:10.1016/j.techfore.2023.123021

Technological Forecasting and Social Change

2024

DOI: 10.1016/j.techfore.2023.123021

|View full text |Cite

Cross-national and cross-sectoral dynamics of innovation policies: The case of lithium-ion battery technology for electric vehicles in the U.S. and China

Yuki Kamikawa,

Matthew Brummer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Technological trends in mountain logistics: A patent analysis

Teshome,

Podrecca,

Orzes

2024

Research in Transportation Business & Management

View full text Add to dashboard Cite

Technological trends in mountain logistics: A patent analysis

Teshome,

Podrecca,

Orzes

2024

Research in Transportation Business & Management

View full text Add to dashboard Cite

Exploring the technological leaders using tire industry patents: A topic modeling approach

Ghaffari,

Aliahmadi,

Khalkhali

et al. 2024

Technology in Society

View full text Add to dashboard Cite

Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method

Han,

Zhou,

Chen

2024

Batteries

View full text Add to dashboard Cite

Accurately predicting the state of health (SOH) of lithium-ion batteries is crucial for optimizing battery performance and achieving efficient energy management, especially in electric vehicle applications. However, the existing incremental capacity analysis methods, which are mostly based on curve multi-parameter analysis, still have limitations in terms of computation, prediction accuracy, and adaptability to actual operating conditions. This paper conducts an in-depth analysis of the incremental capacity (IC) curve and proposes a feature parameter based on the area under the IC curve. By incorporating charge and discharge data, a weighted health indicator sequence is constructed and three mathematical models are proposed to link health indicators with cycle number, capacity, and SOH. The feasibility of using impedance as an additional input is also explored, despite the challenges of measurement, revealing its potential applications. Validation of the models with different datasets shows that the proposed method achieves both average relative error and root mean square error within 5%, outperforming other methods in terms of minimizing error and ensuring stability. The results demonstrate that the area-weighted incremental capacity method significantly enhances battery health monitoring accuracy, contributing to the development of sustainable and efficient energy storage systems.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Cross-national and cross-sectoral dynamics of innovation policies: The case of lithium-ion battery technology for electric vehicles in the U.S. and China

Cited by 4 publications

References 76 publications

Technological trends in mountain logistics: A patent analysis

Technological trends in mountain logistics: A patent analysis

Exploring the technological leaders using tire industry patents: A topic modeling approach

Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method

Contact Info

Product

Resources

About