Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]
Parimala CHH +5 more
europepmc +1 more source
Smart battery management in EVs using IoT, blockchain, and machine learning. [PDF]
Kavitha D, Sharmila B.
europepmc +1 more source
The Methods for Estimating State of Charge in Lithium-Ion Batteries. [PDF]
Xu P, Zhou R.
europepmc +1 more source
Sistema BMS (Battery Management System) per bateries de plom
El present projecte consisteix en el disseny i implementació a nivell hardware i software d’un prototip BMS (Battery Management System) per bateries de plom. La seva finalitat és permetre visualitzar i controlar, en tot moment, dades significatives de les bateries d’un SAI (Sistemes d’Alimentació Ininterrompuda), per així poder realitzar un manteniment
openaire +1 more source
Lithium-ion batteries (LIBs) have revolutionized the energy storage landscape due to their high energy density, long cycle life, and efficiency. Widely used in portable electronics, electric vehicles (EVs), and renewable energy systems, LIBs are pivotal in the transition to a low-carbon future.
openaire +2 more sources
Real time estimation of battery SOC and autonomous charging strategy for dynamic energy storage charging robot with extended Kalman filter. [PDF]
Zhou Y +9 more
europepmc +1 more source
Assessing the impact of open-circuit voltage estimation methods on UKF performance for lithium-ion battery SOC and SOH estimation. [PDF]
Mikhak-Beyranvand M +2 more
europepmc +1 more source
Advanced battery diagnostics for electric vehicles using CAN based BMS data with EKF and data driven predictive models. [PDF]
Kulkarni SV +4 more
europepmc +1 more source
Electric Vehicle Requirements for Operation in Smart Grids [PDF]
Larsen, Esben +3 more
core +1 more source
Deep learning-based battery health prediction for enhancing electric vehicle performance. [PDF]
Rahman T +6 more
europepmc +1 more source

