首页|Polytechnic University Milan Researchers Publish New Studies and Findings in the Area of Machine Learning (Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization)
Polytechnic University Milan Researchers Publish New Studies and Findings in the Area of Machine Learning (Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Milan, Italy, by NewsRx correspondents, research stated, "In this study, a novel Machine learning -based method for the joint State of Charge and State of Health estimation of Li thium Batteries that tackle real-world applications and with Bayesian Hyperparam eter optimization is proposed." Financial supporters for this research include Piano Nazionale Di Ripresa E Resi lienza (Pnrr) ? Missione 4 Componente 2, Investimento 1.4. Our news editors obtained a quote from the research from Polytechnic University Milan: "The estimated State of Health is used as an input for State of Charge es timation, considering battery degradation. The accuracy and computational cost o f the proposed method are compared with the other state-of-the-art Machine Learn ing models. For the most promising solutions, an in-depth analysis on factors af fecting the estimation accuracy is performed. To facilitate further research, a new battery dataset was created using extended dynamic driving cycles, encompass ing a wide range of temperature conditions and aging stages. This dataset is pub licly available online to support model development and comparative testing by t he scientific community."
Polytechnic University MilanMilanIta lyEuropeCyborgsEmerging TechnologiesMachine Learning
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