Estimation of Peukert Constant of Lithium-ion Batteries and its Application in Battery Discharging Time Prediction

Ya-dong, Gong; Zhang, Xiaoyong; Li, Heng; Liao, Hongtao; Meng, Zhiqiang; Liu, Yongjie; Huang, Zhiwu

doi:10.1109/ecce44975.2020.9236241

Cited by 6 publications

(6 citation statements)

References 20 publications

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“…Due to its simplicity, the Peukert Model has since become the standard approach to model the effective capacity under load. It has also been shown to hold for LiPo batteries at medium discharge rates [15], [28]. Generalizations to higher discharge (around 1 C) rates exist as well [29], [15].…”

Section: Related Workmentioning

confidence: 84%

Range, Endurance, and Optimal Speed Estimates for Multicopters

Bauersfeld¹,

Scaramuzza²

2021

Preprint

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Multicopters are among the most versatile mobile robots. Their applications range from inspection and mapping tasks to providing vital reconnaissance in disaster zones and to package delivery. The range, endurance, and speed a multirotor vehicle can achieve while performing its task is a decisive factor not only for vehicle design and mission planning, but also for policy makers deciding on the rules and regulations for aerial robots. To the best of the authors' knowledge, this work proposes the first approach to estimate the range, endurance, and optimal flight speed for a wide variety of multicopters. This advance is made possible by combining a state-of-the-art first-principles aerodynamic multicopter model based on bladeelement-momentum theory with an electric-motor model and a graybox battery model. This model predicts the cell voltage with only 1.3% relative error (43.1 mV), even if the battery is subjected to non-constant discharge rates. Our approach is validated with real-world experiments on a test bench as well as with flights at speeds up to 65 km/h in one of the world's largest motion-capture systems. We also present an accurate pen-and-paper algorithm to estimate the range, endurance and optimal speed of multicopters to help future researchers build drones with maximal range and endurance, ensuring that future multirotor vehicles are even more versatile.

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Section: Related Workmentioning

confidence: 84%

Range, Endurance, and Optimal Speed Estimates for Multicopters

Bauersfeld¹,

Scaramuzza²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to its simplicity, the Peukert Model has since become the standard approach to model the effective capacity under load. It has also been shown to hold for LiPo batteries at medium discharge rates [15], [28]. Generalizations to medium discharge (around 1 C) rates exist as well [29], [15].…”

Section: Related Workmentioning

confidence: 87%

Range, Endurance, and Optimal Speed Estimates for Multicopters

Bauersfeld

Scaramuzza

2022

IEEE Robot. Autom. Lett.

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Multicopters are among the most versatile mobile robots. Their applications range from inspection and mapping tasks to providing vital reconnaissance in disaster zones and to package delivery. The range, endurance, and speed a multirotor vehicle can achieve while performing its task is a decisive factor not only for vehicle design and mission planning, but also for policy makers deciding on the rules and regulations for aerial robots. To the best of the authors' knowledge, this work proposes the first approach to estimate the range, endurance, and optimal flight speed for a wide variety of multicopters. This advance is made possible by combining a state-of-the-art first-principles aerodynamic multicopter model based on blade-element-momentum theory with an electric-motor model and a graybox battery model. This model predicts the cell voltage with only 1.3% relative error ( 43.1mV ), even if the battery is subjected to non-constant discharge rates. Our approach is validated with real-world experiments on a test bench as well as with flights at speeds up to 65km/h in one of the world's largest motion-capture systems. We also present an accurate pen-and-paper algorithm to estimate the range, endurance and optimal speed of multicopters to help future researchers build drones with maximal range and endurance, ensuring that future multirotor vehicles are even more versatile.

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“…Peukert’s Law was proposed to describe the discharge characteristics of lead–acid batteries [ 29 ]. Owing to its low complexity and simple modeling process, Peukert’s Law has also been applied to lithium-ion batteries, supercapacitors, nickel–cadmium batteries, etc., in recent years [ 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. However, it is mainly used for discharge time prediction with the known current profile, rather than online estimation of SOC [ 30 , 31 , 32 , 35 , 36 ].…”

Section: Related Workmentioning

confidence: 99%

“…Owing to its low complexity and simple modeling process, Peukert’s Law has also been applied to lithium-ion batteries, supercapacitors, nickel–cadmium batteries, etc., in recent years [ 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. However, it is mainly used for discharge time prediction with the known current profile, rather than online estimation of SOC [ 30 , 31 , 32 , 35 , 36 ]. Yang et al studied the dependence of the Peukert constant of supercapacitors on voltage, aging, and temperature, and pointed out that the Peukert constant increases when the temperature is lower, although the change is moderate [ 32 ].…”

Section: Related Workmentioning

confidence: 99%

“…This paper applies Peukert’s Law to estimate C est and proposes a novel SOC estimation method. Although existing studies have verified the applicability of Peukert’s Law for lithium-ion batteries and supercapacitors, among others [ 29 , 30 , 31 ], its applicability for the commonly used primary batteries remains unrealized. Therefore, the applicability of Peukert’s Law for the commonly used primary batteries was verified initially and the results are analyzed in Section 6.1 .…”

Section: Soc Estimation Based On Peukert’s Lawmentioning

confidence: 99%

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Peukert’s Law-Based State-of-Charge Estimation for Primary Battery Powered Sensor Nodes

Dai

Xia²,

Mao³

et al. 2023

Sensors

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Accurate state-of-charge (SOC) estimation is essential for maximizing the lifetime of battery-powered wireless sensor networks (WSNs). Lightweight estimation methods are widely used in WSNs due to their low measurement and computation requirements. However, accuracy of existing lightweight methods is not high, and their adaptability to different batteries and working conditions is relatively poor. This paper proposes a lightweight SOC estimation method, which applies Peukert’s Law to estimate the effective capacity of the battery and then calculates the SOC by subtracting the cumulative current consumption from the estimated capacity. In order to evaluate the proposed method comprehensively, different primary batteries and working conditions (constant current, constant resistance, and emulated duty-cycle loads) are employed. Experimental results show that the proposed method is superior to existing methods for different batteries and working conditions, which mainly benefits from the ability of Peukert’s Law to better model the rate-capacity effect of the batteries.

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Estimation of Peukert Constant of Lithium-ion Batteries and its Application in Battery Discharging Time Prediction

Cited by 6 publications

References 20 publications

Range, Endurance, and Optimal Speed Estimates for Multicopters

Range, Endurance, and Optimal Speed Estimates for Multicopters

Range, Endurance, and Optimal Speed Estimates for Multicopters

Peukert’s Law-Based State-of-Charge Estimation for Primary Battery Powered Sensor Nodes

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