An LPV-MPC Inspired Battery SOP Estimation Algorithm Using a Coupled Electro-Thermal Model

Autor:	M. Scott Trimboli, Marcelo A. Xavier, Aloisio Kawakita de Souza
Rok vydání:	2021
Předmět:	Battery (electricity) Prediction algorithms Model predictive control Control theory Computer science State (computer science) Thermal model Power (physics) Battery management systems Voltage
Zdroj:	ACC
DOI:	10.23919/acc50511.2021.9483433
Popis:	A coupled electro-thermal (CET) model is used in conjunction with linear parameter-varying model predictive control (LPV-MPC) to compute dynamic state of power (SOP) limits for lithium-ion batteries. The LPV approach uses the previous-step ‘tail’ to improve MPC prediction accuracy, while a linearized CET model enables constraints on current, voltage and temperature for accurate and safe power estimation. Improved SOP limits can be used in battery management systems (BMS) for improved long-term battery performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::444f4b899faa8b252622b84a2d6afd11 https://doi.org/10.23919/acc50511.2021.9483433 Zobrazit plný text záznamu