Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2

Choi, Soo Seok; Lim, Hong Sik

doi:10.1016/s0378-7753(02)00305-1

Cited by 270 publications

(136 citation statements)

References 14 publications

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“…Note however that these cycles are shallow discharge cycles. For Li-ion batteries it is claimed that the dept of discharge (DOD) would not determine the maximum number of charge -discharge cycles or life-time [10,11]. On the other side small discharges and pulsed charging are claimed to enhance battery life-time [12].…”

Section: Storing Photovoltaic Energy 221 Some Benchmark Experimentsmentioning

confidence: 99%

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The use of battery–capacitor combinations in photovoltaic powered products

Kan

Verwaal

Broekhuizen

2006

Journal of Power Sources

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Section: Storing Photovoltaic Energy 221 Some Benchmark Experimentsmentioning

confidence: 99%

“…The drawback however of these quick recharge sequences is an elevated temperature which results in the loss of battery capacity and in a reduced battery life [11].…”

Section: Quick Recharging Of Energy Storage Mediamentioning

confidence: 99%

The use of battery–capacitor combinations in photovoltaic powered products

Kan

Verwaal

Broekhuizen

2006

Journal of Power Sources

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“…Previous research has determined that battery SOH is strongly dependent on several factors, such as depth of discharge, temperature variations, and rate of charge/discharge current [10], [11]. The estimation of battery SOH is complex because of the nonlinear relationship between battery SOH and the aforementioned factors.…”

Section: Introductionmentioning

confidence: 99%

Development of an Intelligent Charger with a Battery Diagnosis Function Using Online Impedance Spectroscopy

Nguyen¹,

Doan²,

Lee³

et al. 2016

Journal of Power Electronics

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Battery diagnosis is vital to battery-based applications because it ensures system reliability by avoiding battery failure. This paper presents a novel intelligent battery charger with an online diagnosis function to circumvent interruptions in system operation. The charger operates in normal charging and diagnosing modes. The diagnosis function is performed with the impedance spectroscopy technique, which is achieved by injecting a sinusoidal voltage excitation signal to the battery terminals without the need for additional hardware. The impedance spectrum of the battery is calculated based on voltage excitation and current response with the aid of an embedded digital lock in amplifier in a digital signal processor. The measured impedance data are utilized in the application of the complex nonlinear least squares method to extract the battery parameters of the equivalent circuit. These parameters are then compared with the reference values to reach a diagnosis. A prototype of the proposed charger is applied to four valve-regulated lead-acid batteries to measure AC impedance. The results are discussed.

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“…Other sources state that Li-ion batteries are adversely affected when the ambient temperature is outside the range of 0 to 65 °C [40]. Many literature works have identified the ideal operating temperature of Li-ion batteries being in between 20 and 30 °C [41]. At this temperature the Li-ion ESS is near its maximum capacity and the degradation effects is minimised.…”

Section: Introductionmentioning

confidence: 99%

“…At this temperature the Li-ion ESS is near its maximum capacity and the degradation effects is minimised. Similarly LA batteries have been tested to safely function between −20 and 50 °C with the ideal operating temperature being in between 20 and 27 °C [42] that is close to that suggested for Li-ion batteries (i.e., 20 and 30 °C) [41]. Operating LA batteries below −20 °C is known to cause freezing highly likely leading to permanent damage.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Modelling Methods for Thermal Management of Batteries

Shabani¹,

Biju²

2015

Energies

104

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Abstract:The main challenge associated with renewable energy generation is the intermittency of the renewable source of power. Because of this, back-up generation sources fuelled by fossil fuels are required. In stationary applications whether it is a back-up diesel generator or connection to the grid, these systems are yet to be truly emissions-free. One solution to the problem is the utilisation of electrochemical energy storage systems (ESS) to store the excess renewable energy and then reusing this energy when the renewable energy source is insufficient to meet the demand. The performance of an ESS amongst other things is affected by the design, materials used and the operating temperature of the system. The operating temperature is critical since operating an ESS at low ambient temperatures affects its capacity and charge acceptance while operating the ESS at high ambient temperatures affects its lifetime and suggests safety risks. Safety risks are magnified in renewable energy storage applications given the scale of the ESS required to meet the energy demand. This necessity has propelled significant effort to model the thermal behaviour of ESS. Understanding and modelling the thermal behaviour of these systems is a crucial consideration before designing an efficient thermal management system that would operate safely and extend the lifetime of the ESS. This is vital in order to eliminate intermittency and add value to renewable sources of power. This paper concentrates on reviewing theoretical approaches used to simulate the operating temperatures of ESS and the subsequent endeavours of modelling thermal management systems for these systems. The intent of this review is to present some of the different methods of modelling the thermal behaviour of ESS highlighting the advantages and disadvantages of each approach. OPEN ACCESSEnergies 2015, 8 10154

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Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2

Cited by 270 publications

References 14 publications

The use of battery–capacitor combinations in photovoltaic powered products

The use of battery–capacitor combinations in photovoltaic powered products

Development of an Intelligent Charger with a Battery Diagnosis Function Using Online Impedance Spectroscopy

Theoretical Modelling Methods for Thermal Management of Batteries

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