Fractional Models of Lithium-Ion Batteries with Application to State of Charge and Ageing Estimation
Autor: | Mathieu Merveillaut, Junior Mbala Francico, Franck Guillemard, Jocelyn Sabatier, Loïc Lavigne, Agnieszka Noury |
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Přispěvatelé: | Lavigne, Loïc |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Battery (electricity)
Partial differential equation Computer science chemistry.chemical_element 020206 networking & telecommunications 02 engineering and technology 021001 nanoscience & nanotechnology Battery pack Ion State of charge chemistry Control theory 0202 electrical engineering electronic engineering information engineering Cell ageing Lithium 0210 nano-technology [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering ComputingMilieux_MISCELLANEOUS Power density |
Zdroj: | Informatics in Control, Automation and Robotics ISBN: 9783319550107 ICINCO (Selected Papers) |
Popis: | The lithium-ion batteries are currently used for a wide variety of mobile applications due to their high energy/power density and operating voltage. However, they also suffer from some limitations that force car manufacturers to associate them to a Battery Management System (BMS) that diagnoses and control the battery pack in real time. To carry out an accurate battery diagnosis, the BMS uses models of each cell in the pack. In this paper a two fractional models of lithium-ion cell are proposed. They result from several simplifications of an electrochemical model involving several partial differential equations. The very low number of parameters in the simpler proposed model permits their adjustment with a very simple procedure. It is then shown how this model can be used for State of Charge (SOC) and ageing estimation. As due to ageing cell and model behavior mismatch, a solution is proposed to define if the model parameters adjustment is required. |
Databáze: | OpenAIRE |
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