Electrode SOC and SOH estimation with electrode-level ECMs
Being able to predict battery internal states that are related to battery degradation is a key aspect to improve battery lifetime and performance, enhancing cleaner electric transportation and energy generation. However, most present battery management systems (BMSs) use equivalent-circuit models (ECMs) for state of charge (SOC) and state of health (SOH) estimation. These models are not able to predict these aging-related variables, and therefore, they cannot be used to limit battery degradation. In this paper, we propose a method for electrode-level SOC (eSOC) and electrode-level SOH (eSOH) estimation using an electrode-level ECM (eECM). The method can produce estimates of the states of lithiation (SOL) of both electrodes and update the eSOH parameters to maintain estimation accuracy through the lifetime of the battery. Furthermore, the eSOH parameter estimates are used to obtain degradation mode information, which could be used to improve state estimation, health diagnosis and prognosis. The method was validated in simulation and experimentally.
Code (0)
등록된 구현이 없습니다.
Tasks
ManagementPrognosisState EstimationSimilar Papers 제목 키워드 기반
HDE-Array: Development and Validation of a New Dry Electrode Array Design to Acquire HD-sEMG for Hand Position Estimation
This paper aims to introduce HDE-Array (High-Density Electrode Array), a novel dry electrode array for acquiring High-Density surface electromyography (HD-sEMG) for hand position estimation through RPC-Net (Recursive Pro…
PositionOptimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
Electrical Impedance Tomography (EIT) is a powerful tool for non-destructive evaluation, state estimation, and process tomography - among numerous other use cases. For these applications, and in order to reliably reconst…
State EstimationPredicting electrode array impedance after one month from cochlear implantation surgery
Sensorineural hearing loss can be treated using Cochlear implantation. After this surgery using the electrode array impedance measurements, we can check the stability of the impedance value and the dynamic range. Deterio…
speech-recognitionSpeech RecognitionAssessing Region-Level EEG Contributions to Cognitive Workload Prediction
Accurate and generalizable estimation of cognitive workload from electroencephalography (EEG) is critical for human-centered and safety-critical systems. Although EEG is widely used for workload assessment, the consisten…
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation
In this study, we validate the findings of previously published papers, showing the feasibility of an Electroencephalography (EEG) based gaze estimation. Moreover, we extend previous research by demonstrating that with o…
ClusteringEEGElectroencephalogram (EEG)Gaze Estimation