... (ANNs) and Support Vector Machine (SVM) algorithms for Lithium-ion batteries used in vehicular applications. The paper validates the two proposed approaches with experimental data collected during a laboratory test campaign. The obtained results are compared in terms of estimation accuracy, proving...

... to improve the efficiency of vehicle speed sampling, then Support Vector machine will be employed to classify the results of Compressed Sensing into several driving condition types. Finally, the recognition results will be compared with traditional driving condition recognition methods (without Compressed...