SoC-algoritme gebaseerd op energieopslagapparaat

What is the methodology for estimating SoC?

The methodology for estimating SOC follows a systematic flowchart consisting of key steps including data separation, data pre-processing, model selection, evaluation, and hyperparameter tuning. This allows for an organized approach to developing and optimizing an accurate SOC estimation model.

What are the technical challenges in the process of SOC and Soh prediction?

Our current research outlays the following technical challenges in the process of SOC and SOH prediction: To simplify the estimation models and enable their implementation on cost-effective hardware such as FPGA rather than relying on GPU/CPU. The solutions to the above are correlated.

How is SoC prediction effective?

The SOC prediction effectiveness is determined by a number of data-driven factors, such as the training procedure, input selection, and tuning of hyperparameters. The computational complexity of data-driven algorithms can be decreased, as well as the problems of data under fitting and overfitting, by carefully choosing the hyperparameters 36.