Battery Management System for Future Electric Vehicles

The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimi...

Descripción completa

Detalles Bibliográficos
Otros Autores:	Söffker, Dirk (Editor), Moulik, Bedatri (Otro)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:	History of engineering & technology state of charge (SOC) joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler-Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654902706719