A review on prognostics and health management (PHM) methods of lithium-ion batteries
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Summary
A review on the state-of-the-art of the PHM study on lithium-ion batteries and proposed research and development perspectives to conduct further studies on the battery PHM, including the approach selection, health management, performance evaluation, uncertainty treatment, application economics, as well as environmental issues.
- Type
- review
- Published
- 2019-12-01
- Cited by
- 349
- References
- 150
- OpenAlex
- https://openalex.org/W2975620261
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:204149236
Keywords
Prognostics, Battery (electricity), State of health, Reliability engineering, Reliability (semiconductor)
References
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- State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model
- The Joint Strike Fighter (JSF) PHM concept: Potential impact on aging aircraft problems
- Issues and challenges facing rechargeable lithium batteries
- A review of the present situation and future developments of micro‐batteries for wireless autonomous sensor systems
- A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
- Robust optimization – methodology and applications
- Comparison of prognostic algorithms for estimating remaining useful life of batteries
- A review on prognostics and health monitoring of Li-ion battery
- A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter
- Particle filtering prognostic estimation of the remaining useful life of nonlinear components
- Progress in electrical energy storage system: A critical review
- New extension of the Kalman filter to nonlinear systems
- Benefits and Challenges of System Prognostics
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- Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols
- Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features
- Toward a Safer Battery Management System: A Critical Review on Diagnosis and Prognosis of Battery Short Circuit
- Simulator Assessment Theory for Remaining Useful Life Prediction of Lithium-Ion Battery Under Multiple Uncertainties
- AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments
- Synthesis and research of MnO2–NiO composite as lithium-ion battery anode using spent Zn–Mn batteries as manganese source
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter
- Battery state of health modeling and remaining useful life prediction through time series model
- Literature Review: Framework of Prognostic Health Management for Airline Predictive Maintenance
- Reliable state of health condition monitoring of Li-ion batteries based on incremental support vector regression with parameters optimization
- Sustainable value chain of retired lithium-ion batteries for electric vehicles
- A Health Indicator for the Online Lifetime Estimation of an Electric Vehicle Power Li-Ion Battery
- Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings
- Machine Learning Based Data Driven Diagnostic and Prognostic Approach for Laser Reliability Enhancement
- A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges
- Time-Frequency Image Analysis and Transfer Learning for Capacity Prediction of Lithium-Ion Batteries
- Review—Thermal Safety Management in Li-Ion Batteries: Current Issues and Perspectives
- Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
- Toward Sustainable Reuse of Retired Lithium-ion Batteries from Electric Vehicles
- SOH diagnostic and prognostic of high energy application by the relationship of health indicators
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