Battery incremental capacity curve extraction by a two-dimensional Luenberger–Gaussian-moving-average filter

By Xiaopeng Tang, Kailong Liu, Jingyi Lu, Boyang Liu, Xin Wang, Furong Gao. 2020

84 citations recorded by the source corpus.

Abstract Incremental capacity analysis is a popular tool for the evaluation of state-of-health in battery management. In digital systems, the incremental capacity is generally approximated with the ratio of the capacity difference to voltage difference ( Δ Q ∕ Δ V ), which unavoidably amplifies measurement noises. To enhance its resilience against noises and improve the estimation accuracy, a two-dimensional filter is designed by employing historical information from both time and batch (cycle) directions inspired by batch-wise repetitiveness of the incremental capacity trajectories. Specifically, in the batch direction, a Luenberger observer is utilised to provide a batch-to-batch smoothing at the beginning of each charging cycle, while in the time direction, a bias-corrected Gaussian moving average filter is applied to smooth the incremental capacity value with respect to the voltage at every sampling time. Experimental results show that the root-mean-square-error of the proposed filter is 50% lower than the benchmark algorithms, and the noise sensitivity is significantly reduced by 93%. When using incremental capacity peaks extracted from the proposed filter for state-of-health modelling, the width of the 99% confidence interval would be narrowed by 45%. Moreover, the model-free nature of the proposed method enables its application to different batteries, paving a reliable way for effective battery health assessment.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/59b0380676f1a5faf9b55d19bbd9ae04b184305e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Weihan Li
2. Zhongbao Wei
3. Dirk Uwe Sauer

In Electrical and Electronic Engineering

1. Weihan Li
2. Zhongbao Wei
3. Josep Pou
4. Dirk Uwe Sauer

Citations in the corpus

• State-of-Health Estimation of Lithium-Ion Batteries by Fusing an Open Circuit Voltage Model and Incremental Capacity Analysis (2022, background): “Index Terms—Data fusion, incremental capacity analysis (ICA), lithium-ion battery (LIB), open circuit voltage (OCV) model, state of health (SOH).”