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Proceedings Papers

Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Nicola Amati, Andrea Tonoli, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 14–17, 2022
Paper No: DETC2022-89512
https://doi.org/10.1115/DETC2022-89512
... current profile using Artificial Intelligence (AI) in lead-acid batteries, which are commonly used in heavy-duty vehicles for cranking and cabin systems, are presented. The paper validates the considered approach with experimental data, which are representative of actual vehicle operations. In detail...
View Paper titled, Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in <span class="search-highlight">Lead</span>-<span class="search-highlight">Acid</span> <span class="search-highlight">Batteries</span> for Heavy-Duty Vehicles
Open the PDF for Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in <span class="search-highlight">Lead</span>-<span class="search-highlight">Acid</span> <span class="search-highlight">Batteries</span> for Heavy-Duty Vehicles in another window
Topics: Artificial intelligence, Artificial neural networks, Construction equipment, Lead-acid batteries
Proceedings Papers

A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles

Sara Luciani, Stefano Feraco, Angelo Bonfitto, Andrea Tonoli, Nicola Amati, Maurizio Quaggiotto
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A017, August 17–19, 2021
Paper No: DETC2021-68469
https://doi.org/10.1115/DETC2021-68469
... Abstract In the automotive framework, an accurate assessment of the State of Charge (SOC) in lead-acid batteries of heavy-duty vehicles is of major importance. SOC is a crucial battery state that is non-observable. Furthermore, an accurate estimation of the battery SOC can prevent system...
View Paper titled, A Machine Learning Method for State of Charge Estimation in <span class="search-highlight">Lead</span>-<span class="search-highlight">Acid</span> <span class="search-highlight">Batteries</span> for Heavy-Duty Vehicles
Open the PDF for A Machine Learning Method for State of Charge Estimation in <span class="search-highlight">Lead</span>-<span class="search-highlight">Acid</span> <span class="search-highlight">Batteries</span> for Heavy-Duty Vehicles in another window
Topics: Artificial neural networks, Construction equipment, Genetic algorithms, Lead-acid batteries, Machine learning