Zhang et al., 2023 - Google Patents

Soc-modified core temperature estimation of lithium-ion battery based on control-oriented electro-thermal model

Zhang et al., 2023

Document ID
12528063696498284742
Author
Zhang X
Wang Y
Chen Z
Publication year
Publication venue
IEEE Transactions on Power Electronics

External Links

Snippet

Lithium-ion batteries and their control technologies are the key points to electrification and intelligence of transportation. Dynamic thermal management is one of the key technologies for intelligent battery management systems. Real-time monitoring of information about the …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • Y02E60/12—Battery technology

Similar Documents

Publication Publication Date Title
Ouyang et al. State-of-charge observer design for batteries with online model parameter identification: A robust approach
Liu et al. Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model
Hu et al. Disturbance-immune and aging-robust internal short circuit diagnostic for lithium-ion battery
Qays et al. Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review
Tian et al. State of charge estimation of lithium-ion batteries using an optimal adaptive gain nonlinear observer
Zhang et al. Soc-modified core temperature estimation of lithium-ion battery based on control-oriented electro-thermal model
Li et al. Joint estimation of state of charge and state of health for lithium‐ion battery based on dual adaptive extended Kalman filter
Shi et al. State of charge estimation by joint approach with model-based and data-driven algorithm for lithium-ion battery
Shi et al. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects
Yao et al. A surface temperature estimation method for lithium-ion battery using enhanced GRU-RNN
Liu et al. A new state‐of‐charge estimation method for electric vehicle lithium‐ion batteries based on multiple input parameter fitting model
Nath et al. Attractive ellipsoid sliding mode observer design for state of charge estimation of lithium-ion cells
Luo et al. Ternary-material lithium-ion battery SOC estimation under various ambient temperature
Snoussi et al. Unknown input observer design for lithium-ion batteries SOC estimation based on a differential-algebraic model
Dai et al. An improved SOC estimator using time-varying discrete sliding mode observer
Sanchez et al. A Variable Effective Capacity Model for $\hbox {LiFePO} _ {4} $ Traction Batteries Using Computational Intelligence Techniques
Elsergany et al. An adaptive autotuned polynomial-based extended Kalman filter for sensorless surface temperature estimation of Li-ion battery cells
Liu et al. An online hybrid estimation method for core temperature of Lithium-ion battery with model noise compensation
Zhang et al. A novel battery state-of-health estimation method for hybrid electric vehicles
Miao et al. A novel online model parameters identification method with anti‐interference characteristics for lithium‐ion batteries
Guo et al. An adaptive approach for battery state of charge and state of power co-estimation with a fractional-order multi-model system considering temperatures
CN114295982A (en) Method, system and medium for identifying lithium ion battery parameters and open circuit voltage
Xu et al. State estimation of lithium batteries for energy storage based on dual extended kalman filter
Hou et al. State of Charge Estimation for Lithium-Ion Batteries at Various Temperatures by Extreme Gradient Boosting and Adaptive Cubature Kalman Filter
Liu et al. An improved adaptive cubature H‑infinity filter for state of charge estimation of lithium‑ion battery