Battery capacity detection

How is battery capacity estimated?

Firstly, feature extraction is performed from raw data, typically including voltage, current, and temperature. Subsequently, various machine learning methods are employed to establish the relationship between HIs and capacity, thereby realizing battery capacity estimation.

What EV battery health anomaly detection & capacity estimation tasks are included?

The tasks of our EVBattery dataset are not limited to EV battery health anomaly detection and capacity estimation. The dataset contains EV batteries from three manufacturers so the transfer learning task between different datasets can also be considered.

How can ECM and data be used to estimate battery capacity?

The combination of ECM and data-driven methods enables capacity estimation using EIS data. Each component of the reconstructed ECM is assigned specific physical meaning, clarifying its role within the battery’s electrochemical processes.

How accurate is battery capacity estimation?

To assess the accuracy of the battery capacity estimation, we employed the Root Mean Square Error (RMSE) metric. A lower RMSE value indicates a more accurate estimation of the battery capacity. Additionally, we also calculated the standard deviation of the RMSE to measure the consistency of the algorithm’s performance.

Can a multidimensional feature extraction method estimate battery capacity?

Furthermore, Fu et al. proposed a multidimensional feature extraction method based on the concept of incremental capacity, introducing an incremental slope feature extraction technique and combining it with a multilayer perceptron and transfer learning theory to estimate battery capacity in various application scenarios .

Is battery capacity a health indicator for battery degradation?

The capacity of a lithium battery shows a degradation trend because of the side reactions that occur between the electrodes and electrolyte of the battery. Therefore, it is usually selected as a health indicator for battery degradation empirical model in the above-mentioned.