Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation

Li, Junqiu; Sun, Danni; Jin, Xin; Shi, Weichao; Sun, Chao

doi:10.1016/j.apenergy.2019.113574

Cited by 72 publications

(30 citation statements)

References 36 publications

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“…where N is cycle number and the value of coefficients k 1 and k 2 is given in Table 2 as a function of cycling temperature. Next, the heat generated in the battery is modelled based on the power loss caused by electro-chemical reaction and internal resistance of the battery [13][14][15][16]. However, the model used in this research does not consider the effects of electrochemical reaction due to its complexity and insignificance as compared to the internal resistance power losses [17,18].…”

Section: Battery Electro-thermal Modelmentioning

confidence: 99%

“…Lastly, the ICE model provides the necessary power to charge the battery when needed. This model is able to predict the fuel consumption based on the power given to charge the battery as governed by (14) and (15) in Section 2.4. However, in this project, the ICE is not being used to charge the battery since the battery capacity is sufficient to complete one driving cycle at a time.…”

Section: Internal Combustion Engine Modelmentioning

confidence: 99%

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Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Daud

Asus

Bakar

et al. 2020

IET Electrical Systems in Transportation

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Lithium-ion battery is the most preferable type for hybrid electric vehicle due to their superior performance. The battery performances and safety factors are influenced by its operating temperature, hence it needs to be controlled carefully. Battery has a good performance at high temperature but this put it at risks of thermal runaway and explosion. This study presents a simulation model to predict battery's thermal behaviours during discharging and charging through regenerative braking in a series hybrid electric vehicle under various driving cycles. In total, five driving cycles are covered namely New European Driving Cycle (NEDC), Artemis cycle, Japanese 10-15 Mode cycle, FTP-75 cycle and worldwide harmonised light vehicles test procedure cycle. Validation of the model is performed using experimental results for NEDC cycle. Important results presented in this study focus on the battery temperature under different driving cycles and the impacts by considering thermal generation during charging process. Even though the temperature increase is relatively small, but the contribution of heat generation during charging is significant especially in an aggressive driving cycle. These results are very important in providing better understanding on the battery thermal behaviours so that a more effective battery management system can be developed (199/200).

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Section: Battery Electro-thermal Modelmentioning

confidence: 99%

Section: Internal Combustion Engine Modelmentioning

confidence: 99%

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Daud

Asus

Bakar

et al. 2020

IET Electrical Systems in Transportation

View full text Add to dashboard Cite

show abstract

“…EIS is performed by applying small amplitude perturbation signal to the battery input and then measuring its response on the output. Typically EIS measurements use mono-component sinusoidal excitation [3][4][5][6][7][8][9]. Hence the impedance is calculated only at a limited number of frequency points (usually ten frequencies per decade).…”

Section: Introductionmentioning

confidence: 99%

Fast Impedance Measurement of Li-Ion Battery Using Discrete Random Binary Excitation and Wavelet Transform

et al. 2021

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Electrochemical impedance spectroscopy (EIS) is a widely used means for characterization of the dynamics of batteries and electrochemical energy conversion systems in general. EIS is useful for on-line condition monitoring since it contains valuable information on the internal condition of the batteries. The conventional approach to the EIS of batteries relies on their successive excitation with mono-component sinusoidal signals at the pre-defined frequencies. When inferring about the battery's state-of-health, the low-frequency part of the impedance characteristic is of particular interest. Excitation in the low-frequency region can take an excessively long time. Moreover, maintaining stable experimental conditions over long time intervals i na way that the external disturbances will not affect the estimated impedance, might be demanding, especially in the in-field applications. To alleviate the said limitations, and to minimally intrude the process operation, in this paper we apply broadband electrochemical impedance spectroscopy based on a discrete random binary sequence for perturbation of the battery input. The impedance is evaluated by processing voltage and current signals with continuous Morse wavelet transform. The main contributions of the paper refer to (i) the accurate evaluation of the impedance spectra from µHz to kHz range with high-frequency resolution (more than 200 points per decade) and (ii) the evaluation of the uncertainty region of the impedance characteristic. The entire characterisation takes only a fraction of the time required by the classical sine-based electrochemical impedance spectroscopy. The algorithm is successfully demonstrated on a commercial Li-ion battery, which, together with the all datasets are available for download at https://repo.ijs.si/gnusev/supplementary_material.git.

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“…In other words, the greater the resistance and current, the greater the voltage difference between the battery pack and the battery cell. 8 The continuous current (CC)/continuous voltage (CV) charging method uses a constant current until a certain voltage and then a constant voltage to reach the full capacity. If the battery pack changes CC charging to CV charging below charging voltage due to an ohmic drop, 9 total charging time will be increased.…”

Section: Introductionmentioning

confidence: 99%

Design and characteristics of low‐resistance lithium‐ion battery pack and its fast charging method for smart phones

Kim

Park

2021

Intl J of Energy Research

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In order to apply fast charging in 5th generation (5G) mobile telecommunication, smart phones need to be used at higher current. As the resistance of battery pack increases, the charging time, heat generation, and capacity loss increase in proportion to the charging/discharging current. Thus, a low resistance battery pack is essential. Herein, we proposed a new lithium (Li)-ion battery pack consisting of a low-resistance battery cell and protection circuit module (PCM) for Galaxy S10 5G application. The battery cell reduced current density and resistance by loading level of active material and electrode thickness. The resistance of PCM was also reduced by employing low-resistance circuit components and printed circuit board. It lowered resistance to 51 mΩ compared to 71 mΩ of the battery pack for Galaxy S10. For 5G mobile telecommunication and 25 W fast charging, the charging current should be increased from 3 to 5.7 A and the width of the PCM should be increased 2.45 times, but the low-resistance components and optimization pattern design maintain 2.9 mm PCM width without decreasing capacity of battery pack. The experiment results showed that reducing the resistance of the battery pack by 26 mΩ reduced full charging time by 27 minutes and increased discharging time by 1 minute. The low-resistance battery pack met the standard of UL2054 and heating temperature of smart phone. The optimal charging method was also proposed by comparing the charging capacity, charging time, and heat generation by charging current. The proposed charging method reduced the existing 153 minutes of full charging time to 126 minutes. The smart phone with lowresistance battery pack was able to manage the maximum heating temperature below 43.1 C when charging with a 25 W charger. In addition, 0.2 C discharging capacity was 99.3% (4369.5 mAh) compared to the initial capacity after 400 cycles. After 400 cycles, the direct current internal resistance of the battery pack increased, but no Li precipitation was observed on the electrode.This could be applied to a smart phone employing Samsung Electronics' first 1.3 C fast charging for Galaxy S10 5G in the world's first 5G mobile telecommunication.

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Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation

Cited by 72 publications

References 36 publications

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Fast Impedance Measurement of Li-Ion Battery Using Discrete Random Binary Excitation and Wavelet Transform

Design and characteristics of low‐resistance lithium‐ion battery pack and its fast charging method for smart phones

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