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2 results on '"adaptive model-based algorithm"'

1. Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium–Ion Batteries in Their Entire Lifespan.

Author

Chen, Zheng, Xiao, Jiapeng, Shu, Xing, Shen, Shiquan, Shen, Jiangwei, and Liu, Yonggang

Subjects
*LITHIUM-ion batteries, *OPEN-circuit voltage, *KALMAN filtering, *SQUARE root, *GENETIC algorithms, *LEAD-acid batteries, *ELECTRIC vehicle batteries
Abstract

In this paper, a co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium–ion batteries based on the adaptive model-based algorithm. A three-dimensional response surface (TDRS) in terms of the open circuit voltage, the SOC and the available capacity in the scope of whole lifespan, is constructed to describe the capacity attenuation, and the battery available capacity is identified by a genetic algorithm (GA), together with the parameters related to SOC. The square root cubature Kalman filter (SRCKF) is employed to estimate the SOC with the consideration of capacity degradation. The experimental results demonstrate the effectiveness and feasibility of the co-estimation scheme. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium–Ion Batteries in Their Entire Lifespan

Author

Shiquan Shen, Zheng Chen, Jiangwei Shen, Jiapeng Xiao, Yonggang Liu, and Xing Shu

Subjects
Battery (electricity), Control and Optimization, Computer science, 020209 energy, Energy Engineering and Power Technology, chemistry.chemical_element, 02 engineering and technology, state of charge, available capacity, adaptive model-based algorithm, square root cubature Kalman filter, joint estimation, lcsh:Technology, 7. Clean energy, Ion, Computer Science::Hardware Architecture, Square root, Hardware_GENERAL, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Astrophysics::Solar and Stellar Astrophysics, Physics::Atomic Physics, Electrical and Electronic Engineering, Engineering (miscellaneous), Computer Science::Information Theory, square root cubature kalman filter, lcsh:T, Renewable Energy, Sustainability and the Environment, Open-circuit voltage, 021001 nanoscience & nanotechnology, State of charge, chemistry, Lithium, 0210 nano-technology, Joint (audio engineering), Energy (miscellaneous)
Abstract

In this paper, a co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium–ion batteries based on the adaptive model-based algorithm. A three-dimensional response surface (TDRS) in terms of the open circuit voltage, the SOC and the available capacity in the scope of whole lifespan, is constructed to describe the capacity attenuation, and the battery available capacity is identified by a genetic algorithm (GA), together with the parameters related to SOC. The square root cubature Kalman filter (SRCKF) is employed to estimate the SOC with the consideration of capacity degradation. The experimental results demonstrate the effectiveness and feasibility of the co-estimation scheme.

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