A comprehensive experimental study on temperature-dependent performance of lithium-ion battery

Zhao, Lu; Yu, Xiaoli; Wei, Lichuan; Cao, Feng; Zhang, L.Y.; Meng, Xiangzhao; Jin, Liwen

doi:10.1016/j.applthermaleng.2019.113800

Cited by 121 publications

(42 citation statements)

References 25 publications

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“…In the initial stage, the temperature kept increasing while the increasing rate declined. In the intermediate stage (SOC = 40‐60%), the temperature experienced a sight fall because of the low value of discharge rate (0.5‐1 C), which results in low ohmic heat. Meanwhile, the influence of polarisation heat is at a low level because of the low concentration polarisation.…”

Section: Experiments Design and Resultsmentioning

confidence: 99%

Aging model development based on multidisciplinary parameters for lithium‐ion batteries

Garg

Gao

et al. 2019

Int J Energy Res

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Summary In this paper, a method composed of state of health (SOH) testing experiments and artificial intelligence simulation is proposed to carry out the study on the change of battery characteristic during its operation and generate mathematical models for the prediction of aging behaviour of battery. An experiment comprising of multidisciplinary parameters‐based SOH detection is conducted to study the battery aging characteristics from several aspects (ie, electrochemistry, electric, thermal behaviour and mechanics). In total, 200 sets of data (corresponding 200 charging/discharging cycles) are collected from the experiment. The data obtained from the first 150 cycles are employed in generation of the models. The result of sensitivity analysis based on the obtained genetic programming models shows that it is better to apply voltage value at the end of charging step, charging time and cycle number to predict the operational performance of the battery. The average predicted accuracy of model (without stress) is 94.52%, whereas the average predicted accuracy of model (with stress effect) is 99.42%. The proposed models could be useful for defining the optimised charging strategy, fault diagnosis and spent batteries disposal strategies.

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Section: Experiments Design and Resultsmentioning

confidence: 99%

Aging model development based on multidisciplinary parameters for lithium‐ion batteries

Garg

Gao

et al. 2019

Int J Energy Res

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“…The complex and variable driving conditions of electric vehicles are quite different from the conventional test conditions of power battery manufacturers [14].…”

Section: Methodsmentioning

confidence: 99%

“…In the actual driving process, due to road traffic, the vehicle is often required to start and stop urgently, with high start and stop frequency, great instantaneous acceleration and strong emergency braking ability. The complex and variable driving conditions of electric vehicles are quite different from the conventional test conditions of power battery manufacturers [14].…”

Section: Experimental Current Conditionmentioning

confidence: 98%

Study on Near‐Adiabatic Performance of Electric Vehicles' Lithium Battery at Low Temperature

Zihe

Shao

et al. 2021

IEEJ Transactions Elec Engng

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Non-member He Mingze, Non-member Wang Yangyang, Non-member In recent years, electric vehicles have developed rapidly. However, as the power source of electric vehicles, lithium battery has poor performance at low temperature, and has some problems such as reduced capacity and increased internal resistance. In this paper, two thermal environments, including natural convection condition and near-adiabatic condition, are established, and discharge capacity test and cyclic dynamic stress test (DST) are conducted for lithium iron phosphate batteries. The actual effect of near-adiabatic conditions is analyzed from three perspectives: battery surface temperature, terminal voltage and EIS. The results show that the near-adiabatic working condition has almost no effect on the discharge capacity at the standard discharge current (0.5 • C) under the same temperature conditions, ranging from −15 to 25 • C. In the low-temperature − 10 and − 15 • C cyclic dynamic stress test, compared with the natural convection working condition, the near-adiabatic condition has a rapid rise in terminal voltage one cycle earlier, causing the cycle to stop. Also, the polarization impedance increases at least twice after the cycle under the near-adiabatic condition. Finally, according to the analysis of variance (ANOVA), the near-adiabatic condition has a significant effect on voltage and polarization resistance at low temperatures. Still, it has almost no effect on ohmic resistance and discharge capacity.

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“…Only the DC internal resistance (DCIR), which indicates the effect of DC current on the battery is considered in calculating the charging current. The resistance is widely used value when comparing the performance of the battery and also has the characteristics of large variation on the SOC [29][30][31]. Step 4: Aging test using the VCC method.…”

Section: Soc (%) Inr 25r (Nca) Inr 29e (Nmc) Dcir (Ohm) Current (A) Dmentioning

confidence: 99%

Analysis of the Effect of the Variable Charging Current Control Method on Cycle Life of Li-ion Batteries

2019

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Applications of rechargeable batteries have recently expanded from small information technology (IT) devices to a wide range of other industrial sectors, including vehicles, rolling stocks, and energy storage system (ESS), as a part of efforts to reduce greenhouse gas emissions and enhance convenience. The capacity of rechargeable batteries adopted in individual products is meanwhile increasing and the price of the batteries in such products has become an important factor in determining the product price. In the case of electric vehicles, the price of batteries has increased to more than 40% of the total product cost. In response, various battery management technologies are being studied to increase the service life of products with large-capacity batteries and reduce maintenance costs. In this paper, a charging algorithm to increase the service life of batteries is proposed. The proposed charging algorithm controls charging current in anticipation of heating inside the battery while the battery is being charged. The validity of the proposed charging algorithm is verified through an experiment to compare charging cycles using high-capacity type lithium-ion cells and high-power type lithium-ion cells.

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A comprehensive experimental study on temperature-dependent performance of lithium-ion battery

Cited by 121 publications

References 25 publications

Aging model development based on multidisciplinary parameters for lithium‐ion batteries

Aging model development based on multidisciplinary parameters for lithium‐ion batteries

Study on Near‐Adiabatic Performance of Electric Vehicles' Lithium Battery at Low Temperature

Analysis of the Effect of the Variable Charging Current Control Method on Cycle Life of Li-ion Batteries

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