Electro-thermal cycle life model for lithium iron phosphate battery

Ye, Yonghuang; Shi, Yixiang; Tay, A.A.O.

doi:10.1016/j.jpowsour.2012.06.055

Cited by 141 publications

(66 citation statements)

References 28 publications

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“…Figure 6 shows the change in the entropy coefficient with the SOC. The heat exchange rate (q e ) between the battery and the environment during charging and discharging can be calculated by Equation (13) [25].…”

Section: Simulation Model Buildingmentioning

confidence: 99%

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Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Siyu

Chen

2017

Energies

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This study investigated the heat problems that occur during the operation of power batteries, especially thermal runaway, which usually take place in high temperature environments. The study was conducted on a ternary polymer lithium-ion battery. In addition, a lumped parameter thermal model was established to analyze the thermal behavior of the electric bus battery system under the operation conditions of the driving cycles of the Harbin city electric buses. Moreover, the quantitative relationship between the optimum heat transfer coefficient of the battery and the ambient temperature was investigated. The relationship between the temperature rise (T r ), the number of cycles (c), and the heat transfer coefficient (h) under three Harbin bus cycles have been investigated at 30 • C, because it can provide a basis for the design of the battery thermal management system. The results indicated that the heat transfer coefficient that meets the requirements of the battery thermal management system is the cubic power function of the ambient temperature. Therefore, if the ambient temperature is 30 • C, the heat transfer coefficient should be at least 12 W/m 2 K in the regular bus lines, 22 W/m 2 K in the bus rapid transit lines, and 32 W/m 2 K in the suburban lines.

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Section: Simulation Model Buildingmentioning

confidence: 99%

“…The thermal parameters required are given in Table 4, the data in Table 4 are adapted from the reference [19,[25][26][27][28][29]. [29] 160 2700 903 Cu [29] 400 8900 385 can [19] 44.5 7850 475…”

Section: Simulation Model Buildingmentioning

confidence: 99%

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Siyu

Chen

2017

Energies

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“…However, in wind power dispatch applications, the BESS is not charged or discharged at regular and repeating intervals. In this case, the BAL is mainly associated with its Ah-throughput, which is the total quantity of charge throughout the BESS life [20].…”

Section: Ah-throughput Life Modelmentioning

confidence: 99%

“…Meanwhile, the life model can also be used to evaluate BESS control effects. Extended efforts have been made to develop the battery life model [16][17][18][19][20][21], but few studies referred to large-scale BESS for fluctuant power applications. A semiempirical life model for lithium ion cells was established based on a significant amount of experimental data in [16].…”

Section: Introductionmentioning

confidence: 99%

Variable charge/discharge time-interval control strategy of BESS for wind power dispatch

Chai¹,

Li²,

Cai³

2015

Turk J Elec Eng & Comp Sci

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Abstract:A variable charge/discharge time-interval ( T C/D ) control strategy of a battery energy storage system (BESS) for wind power dispatch is proposed in this paper, aiming at: 1) extending the BESS life, 2) reducing the total BESS energy loss, and 3) increasing the dispatch tracking accuracy. A multifactor life model of a large-scale BESS containing four factors, charge/discharge rate, times, T C/D , and temperature, is developed, which has taken into account the cell series/parallel effects and BESS operational characteristics. A comprehensive evaluation system including BESS aging level (BAL), energy loss index (ELI), and tracking inaccuracy index (TII) is proposed, and the relationships between

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“…The "electro-thermal" modelling approach is based on a coupling between both electrical and thermal battery models [26][27][28][29]. The "electrochemical-thermal" modelling approach consists in the coupling between the electrochemical and the thermal battery models [30][31][32][33][34]. For cylindrical batteries, thermal models can be defined in one, two and three dimensions.…”

Section: Introductionmentioning

confidence: 99%

Thermal Behaviour Investigation of a Large and High Power Lithium Iron Phosphate Cylindrical Cell

et al. 2015

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This paper investigates the thermal behaviour of a large lithium iron phosphate (LFP) battery cell based on its electrochemical-thermal modelling for the predictions of its temperature evolution and distribution during both charge and discharge processes. The electrochemical-thermal modelling of the cell is performed for two cell geometry approaches: homogeneous (the internal region is considered as a single region) and discrete (the internal region is split into smaller regions for each layer inside the cell). The experimental measurements and the predictions of the cell surface temperature achieved with the simulations for both approaches are in good agreement with 1.5• C maximum root mean square error. From the results, the maximum cell surface temperature and temperature gradient between the internal and the surface regions are around 31.3• C and 1.6• C. The temperature gradient in the radial direction is observed to be greater about 1.1• C compared to the longitudinal direction, which is caused by the lower thermal conductivity of the cell in the radial compared to the longitudinal direction. During its discharge, the reversible, the ohmic and the reaction heat generations inside the cell reach up to 2 W, 7 W and 17 W respectively. From the comparison of the two modelling approaches, this paper establishes that the homogeneous modelling of the cell internal region is suitable for the study of a single cylindrical cell and is appropriate for the two-dimensional thermal behaviour investigation of a battery module made of multiple cells.

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Electro-thermal cycle life model for lithium iron phosphate battery

Cited by 141 publications

References 28 publications

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Variable charge/discharge time-interval control strategy of BESS for wind power dispatch

Thermal Behaviour Investigation of a Large and High Power Lithium Iron Phosphate Cylindrical Cell

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