Zhang et al., 2025 - Google Patents
Field-Validated Battery Capacity Estimation Using an Iterative Filter-Based ApproachZhang et al., 2025
- Document ID
- 9302707461313567531
- Author
- Zhang W
- Ahmed R
- Habibi S
- Publication year
- Publication venue
- 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+ EATS)
External Links
Snippet
Accurate battery capacity estimation remains challenging due to the diverse operating conditions. This study proposes an iterative, filter-based estimation framework that improves the accuracy and robustness of conventional approaches. The proposed estimator …
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3644—Various constructional arrangements
- G01R31/3648—Various constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
- G01R31/3651—Software aspects, e.g. battery modeling, using look-up tables, neural networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3644—Various constructional arrangements
- G01R31/3662—Various constructional arrangements involving measuring the internal battery impedance, conductance or related variables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3606—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH]
- G01R31/3624—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH] based on combined voltage and current measurement
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3644—Various constructional arrangements
- G01R31/3679—Various constructional arrangements for determining battery ageing or deterioration, e.g. state-of-health (SoH), state-of-life (SoL)
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3606—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH]
- G01R31/361—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH] using current integration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3644—Various constructional arrangements
- G01R31/3693—Various constructional arrangements for determining the ability of a battery to perform a critical function, e.g. cranking
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3644—Various constructional arrangements
- G01R31/3675—Various constructional arrangements for compensating for temperature or ageing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3606—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH]
- G01R31/362—Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH] based on measuring voltage only
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
- G01R31/3627—Testing, i.e. making a one-time determination of some variables, e.g. testing ampere-hour charge capacity
- G01R31/3634—Testing, i.e. making a one-time determination of some variables, e.g. testing ampere-hour charge capacity for determining the ampere-hour charge capacity or state-of-charge (SoC)
- G01R31/3637—Testing, i.e. making a one-time determination of some variables, e.g. testing ampere-hour charge capacity for determining the ampere-hour charge capacity or state-of-charge (SoC) based on voltage measurements
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wen et al. | SOH prediction of lithium battery based on IC curve feature and BP neural network | |
| US20210311129A1 (en) | Methods and systems for accelerated determining of state of health using incremental capacity analysis | |
| Andre et al. | Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries | |
| US10267861B2 (en) | Automatic method for estimating the state of charge of a battery cell | |
| Luo et al. | An online state of health estimation technique for lithium-ion battery using artificial neural network and linear interpolation | |
| Agudelo et al. | Battery state-of-health estimation based on multiple charge and discharge features | |
| US10379171B2 (en) | Automatic method for estimating the cell's state-of-charge of a battery | |
| Li et al. | The co-estimation of states for lithium-ion batteries based on segment data | |
| US10393812B2 (en) | Automatic method for estimating the state of charge of a cell of a battery | |
| CN109633477B (en) | Real-time monitoring method of battery pack health status based on EKF-GPR and daily fragment data | |
| Wei et al. | Lyapunov-based state of charge diagnosis and health prognosis for lithium-ion batteries | |
| Yao et al. | State-of-charge estimation for lithium-ion batteries based on modified unscented Kalman filter using improved parameter identification | |
| Sun et al. | Data-driven state-of-charge estimation of a lithium-ion battery pack in electric vehicles based on real-world driving data | |
| Noh et al. | Online state-of-health estimation algorithm for lithium-ion batteries in electric vehicles based on compression ratio of open circuit voltage | |
| Liu et al. | Co-estimation of state-of-charge and capacity for series-connected battery packs based on multi-method fusion and field data | |
| Hou et al. | A variational bayes based state-of-charge estimation for lithium-ion batteries without sensing current | |
| Han et al. | A new SOH prediction model for lithium-ion battery for electric vehicles | |
| Dong et al. | State of health estimation for li-ion batteries using improved gaussian process regression and multiple health indicators | |
| Liebhart et al. | Sensitivity analysis of battery cell aging estimators based on impedance spectroscopy regarding temperature compensation | |
| Babaeiyazdi et al. | State-of-charge prediction of degrading li-ion batteries using an adaptive machine learning approach | |
| Zhang et al. | Field-Validated Battery Capacity Estimation Using an Iterative Filter-Based Approach | |
| Li et al. | Dual time-scale co-estimation of state-of-charge and state-of-health for lithium-ion battery pack with passive balance control over whole lifespan based on particle filter | |
| Jiao et al. | Battery Remaining Useful Life Prediction Based on a Combination of ARMA and Degradation Model | |
| Li | State Estimation in Lithium-Ion Batteries Using Pulse Perturbation and Feedforward Neural Networks | |
| Tran et al. | SOC/SOH estimation method for AGM VRLA battery by combining ARX model for online parameters estimation and DEKF considering hysteresis and diffusion effects |