Nothing Special   »   [go: up one dir, main page]

Seitl et al., 2014 - Google Patents

Power hardware-in-the-loop implementation and verification of a real time capable battery model

Seitl et al., 2014

View PDF
Document ID
11703611969277416649
Author
Seitl C
Kathan J
Lauss G
Lehfuß F
Publication year
Publication venue
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

External Links

Snippet

For this contribution a generic and real time capable battery model was implemented within a dedicated Power Hardware-in-the-Loop (PHIL) simulation environment. This was done in order to investigate its implementability and accuracy for PHIL simulations. PHIL simulations …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3644—Various constructional arrangements
    • G01R31/3648—Various constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • G01R31/3651—Software aspects, e.g. battery modeling, using look-up tables, neural networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage for electromobility
    • Y02T10/7005—Batteries
    • Y02T10/7011—Lithium ion battery
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage
    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/80—Technologies aiming to reduce green house gasses emissions common to all road transportation technologies

Similar Documents

Publication Publication Date Title
Seitl et al. Power hardware-in-the-loop implementation and verification of a real time capable battery model
Mesbahi et al. Dynamic model of li-ion batteries incorporating electrothermal and ageing aspects for electric vehicle applications
Yang et al. Electrothermal modeling of lithium-ion batteries for electric vehicles
Yao et al. Modeling of lithium-ion battery using MATLAB/simulink
El-Sehiemy et al. Parameter identification and state-of-charge estimation for lithium-polymer battery cells using enhanced sunflower optimization algorithm
Hentunen et al. Time-domain parameter extraction method for thévenin-equivalent circuit battery models
Xiong et al. An enhanced equivalent circuit model of vanadium redox flow battery energy storage systems considering thermal effects
Seaman et al. A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation
Zhang et al. Battery modelling methods for electric vehicles-A review
Moura et al. PDE estimation techniques for advanced battery management systems—Part I: SOC estimation
Einhorn et al. Comparison, selection, and parameterization of electrical battery models for automotive applications
Castano et al. Dynamical modeling procedure of a Li-ion battery pack suitable for real-time applications
Dai et al. Cell-BMS validation with a hardware-in-the-loop simulation of lithium-ion battery cells for electric vehicles
Einhorn et al. Comparison of electrical battery models using a numerically optimized parameterization method
Geifes et al. Determination of the entropic heat coefficient in a simple electro-thermal lithium-ion cell model with pulse relaxation measurements and least squares algorithm
Blondel et al. Nonlinear circle-criterion observer design for an electrochemical battery model
Omar et al. Optimization of an advanced battery model parameter minimization tool and development of a novel electrical model for lithium‐ion batteries
Tekin et al. Comparative analysis of equivalent circuit battery models for electric vehicle battery management systems
Göllei et al. Modeling and optimization of electrical vehicle batteries in complex clean energy systems
Limoge et al. A reduced-order model of a lithium-ion cell using the absolute nodal coordinate formulation approach
Rahul et al. Comparative study on modeling and estimation of State of Charge in battery
Zhang et al. Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles
Castano-Solis et al. Hybrid characterization procedure of Li-ion battery packs for wide frequency range dynamics applications
Thanheiser et al. Battery emulation considering thermal behavior
Riu et al. Time domain simulation of Li-ion batteries using non-integer order equivalent electrical circuit