State Estimation Strategies in Lithium-ion Battery Management Systems

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel.

Læs hele beskrivelsen
Detaljer
Størrelse og vægt
  • Vægt590 g
  • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

    Findes i disse kategorier...

    Se andre, der handler om...

    Soc Derivatives Temperature Battery management system Kalman Filter Lithium-Ion Battery Akaike Information Criterion State of charge Unmanned aerial vehicles Adaptive filtering Equivalent circuit model State of health Finite difference Adaptive fractional-order Adaptive dual extended Kalman filter Adaptive noise correction Adaptive unscented Kalman filter Aging characteristics Aging experiments Aviation lithium-ion batteries Battery aging test experiment Battery capacity calibration experiments Capacity decay Battery temperature characteristic Bayesian filtering algorithm Battery hysteresis Difference mechanism Energy characteristic Energy test experiment Collaborative estimation Complex noise information Expanding the Kalman filtering Internal resistance characteristic Energy state estimation Internet platform Equivalent modeling Fixed memory Multiple factors influence Forgetting factor recursive extended least squares algorithm Mean absolute percentage error Neural network algorithm M-Thevenin model Multiple Linear Regression Model Peak power Peak power estimation OCV-SOC Open-circuit voltage characteristic Hybrid pulse power characterization test Hysteresis effects recursive least squares Power lithium-ion battery PI hysteresis model State of power Square root Thevenin Model Two-time scales online parameter identification Temperature correction factor SOH estimation Unscented particle filter Kalman filtering algorithm Lithium-ion battery state-of-charge Online parameter identification SOC-OCV State of energy SOC estimation SOH Thevenin equivalent circuit model

    Velkommen til Saxo – din danske boghandel

    Hos os kan du handle som gæst, Saxo-bruger eller Saxo-medlem – du bestemmer selv. Skulle du få brug for hjælp, sidder vores kundeservice-team klar ved både telefonerne og tasterne.

    Om medlemspriser hos Saxo

    For at købe bøger til medlemspris skal du være medlem af Saxo Premium, Saxo Shopping eller Saxo Ung. De første 7 dage er gratis for nye medlemmer. Medlemskabet fornyes automatisk og kan altid opsiges. Læs mere om fordelene ved vores forskellige medlemskaber her.

    Machine Name: SAXO081