A Battery Capacity Estimation Framework Combining Hybrid Deep Neural Network and Regional Capacity Calculation Based on Real-World Operating Data
Author:
Affiliation:
1. National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Ministry of Science and Technology of the People's Republic of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10075413/09994790.pdf?arnumber=9994790
Reference37 articles.
1. A lithium-ion battery remaining useful life prediction method based on the incremental capacity analysis and Gaussian process regression
2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
3. A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries
4. Optimizing Neural Network Parameters Using Taguchi’s Design of Experiments Approach: An Application for Equivalent Stress Prediction Model of Automobile Chassis
5. State-of-Health Estimation for Lithium-Ion Batteries Based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression
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