Coulomb counting state-of-charge algorithm for electric vehicles with a physics-based temperature dependent battery model

Juang, Larry W.; Kollmeyer, Phillip J.; Zhao, Ruxiu; Jahns, T.M.; Lorenz, Robert D.

doi:10.1109/ecce.2015.7310372

Cited by 11 publications

(3 citation statements)

References 18 publications

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“…According to the literature, 21 high temperature should be measured for high C‐rate due especially to the irreversible heat, which is proportional to the square of the current. Coulomb counting method is used to estimate the battery SOC, the principle of this method is supposing the existence of a fixed quantity of energy and normalized as (1), if battery is fully charged 22 …”

Section: Methodsmentioning

confidence: 99%

Experimental investigation on the impact of the battery charging/discharging current ratio on the operating temperature and heat generation

et al. 2021

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Summary This paper presents an experimental investigation on the Li‐ion battery operating temperature and surface heat generation. Measurements are carried on the experimental laboratory test bench using a 60 Ah prismatic li‐ion battery. A large data base of the battery local heat flux and temperature distributions in the three battery sides is obtained under various operating conditions. It shows that the reversible heat generation affects strongly the temperature profile in quasi‐stationary regime. Moreover, the irreversible heat generation has a strong peak in SOCs values higher than 80%. A difference of 3°C was obtained between maximum battery shell temperature and minimum battery surface temperature. The electrodes temperature could be considered the maximum battery temperature and a main key in analyzing battery thermal behavior. For SOC ranging from 0% to 40%, the battery temperature decreases during charging phase and increases during discharging. For SOC ranging from 40% to 100%, it becomes constant during both the charging/discharging phases for the charge/discharge current ratio higher than 1.

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Section: Methodsmentioning

confidence: 99%

Experimental investigation on the impact of the battery charging/discharging current ratio on the operating temperature and heat generation

et al. 2021

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“…A variety of methods have been proposed for SOC estimation and can be divided into different types. The first category includes the Ampere-hour method (known as Coulomb counting method) [12] and open-circuit voltage (OCV) method [13]. These methods are considered open-loop, and cannot be self-corrected as error becomes larger.…”

Section: Introductionmentioning

confidence: 99%

A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

Xia

Guo

Wang³

et al. 2018

Energies

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A state of charge (SOC) estimation method is proposed. An Adaptive Extended Kalman Particle filter (AEKPF) based on Particle Filter (PF) and Adaptive Kalman Filter (AKF) is used in order to decrease the error and reduce calculations. The second-order resistor-capacitor (RC) Equivalent Circuit Model (ECM) is used to identify dynamic parameters of the battery. After testing (include Dynamic Stress test (DST), New European Driving Cycle (NEDC), Federal Urban Dynamic Schedule (FUDS), Urban Dynamometer Driving Schedules (UDDS), etc.) at different temperatures and times, it was found that the AEKPF exhibits greater tolerance for high system noise (10% or higher) and provides more accurate estimations under common operating conditions.

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“…Many SOC estimation methods have been proposed recently by researchers [5]. A straightforward way to estimate the SOC is the integration of the current flowing through the battery, which is known as the Coulomb counting method [6]. However, Coulomb counting method needs an accurate knowledge of the initial SOC, and the measurement errors from the current sensor inevitably accumulate during the calculation process of the Coulomb counting method.…”

mentioning

confidence: 99%

A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

Meng

Stroe

Ricco

et al. 2019

IEEE Trans. Ind. Electron.

160

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The performance of model based State-of-Charge (SOC) estimation method relies on an accurate battery model. Nonlinear models are thus proposed to accurately describe the external characteristics of the Lithium-ion (Li-ion) battery. The nonlinear estimation algorithms and online parameter identification methods are needed to guarantee the accuracy of the model based SOC estimation with nonlinear battery models. A new approach forming a dynamic linear battery model is proposed in this paper, which enables the application of the linear Kalman filter for SOC estimation and also avoids the usage of online parameter identification methods. With a moving window technology, Partial Least Squares (PLS) regression is able to establish a series of piecewise linear battery models automatically. One element state space equation is then obtained to estimate the SOC from the linear Kalman filter. The experiments on a LiFePO4 battery prove the effectiveness of the proposed method compared with the Extended Kalman Filter (EKF) with two Resistance and Capacitance (RC) Equivalent Circuit Model (ECM) and the Adaptive Unscented Kalman Filter (AUKF) with Least Squares Support Vector Machines (LSSVM). Index Terms-State-of-charge estimation, partial least squares regression, Kalman filter, Lithium-ion battery. I. INTRODUCTION  ith the significant progress of the battery technology, Lithium-ion (Li-ion) batteries have become a promising choice for Electrical Vehicle (EV) [1] and Battery Energy Storage System (BESS) [2], [3]. The extensive usage of the Li-ion batteries is mainly because of their superior properties including long lifespan, high energy density, low self-discharge 

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Coulomb counting state-of-charge algorithm for electric vehicles with a physics-based temperature dependent battery model

Cited by 11 publications

References 18 publications

Experimental investigation on the impact of the battery charging/discharging current ratio on the operating temperature and heat generation

Experimental investigation on the impact of the battery charging/discharging current ratio on the operating temperature and heat generation

A State of Charge Estimation Method Based on Adaptive Extended Kalman-Particle Filtering for Lithium-ion Batteries

A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

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