Degradation Behavior of Lithium-Ion Batteries Based on Lifetime Models and Field Measured Frequency Regulation Mission Profile

Stroe, Daniel‐Ioan; Świerczyński, Maciej; Stroe, Ana-Irina; Lærke, Rasmus; Kjær, P.C.; Teodorescu, Remus

doi:10.1109/tia.2016.2597120

Cited by 88 publications

(61 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is easy to find that, for the main period of the charging time, the temperature rise of the proposed charging algorithm is lower than that of the conventional CC-CV method. As the temperature rise of the battery during charging is highly related to the cycle lifetime time of battery [20], the proposed multistage pulse charging is expected to have a better cycle life performance. In [11], the multistage charging algorithm has been demonstrated to provide 25% more cycle life than the CC/CV method.…”

Section: Simulation and Experimental Results Of Smart Chargingmentioning

confidence: 99%

Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices

et al. 2017

View full text Add to dashboard Cite

This paper presents the analysis and design of a smart battery management system for Field Programmable Gate Array (FPGA) based portable electronic devices. It is a novel concept of incorporating the functionality of a smart battery management system into the FPGA used by portable electronic devices, which provides the following advantages. (1) It lowers cost since the conventional commercial independent battery management circuit can be eliminated; (2) It offers more flexibility because FPGA based battery management algorithms can be specifically designed for different battery chemistries of different devices and can provide the flexibility of algorithms and functionalities updating as well. Smart battery management system concepts include four aspects: (1) smart charging; (2) battery balancing; (3) smart discharging; and (4) safety operating. One novel charging algorithm, which combines the merits of multistage charging and pulse charging, is proposed to charge a Li-ion battery pack smartly. A Proportional Integral (PI) control method is introduced to achieve the current control of charging circuit with considerable close loop stability. Simulation results from the PSIM 9.0.4 software package and experimental results from the prototype built in the lab are demonstrated to verify the effectiveness of smart charging. The realizations of battery balancing, smart discharging, and safety operating are also briefly described by taking advantage of the proposed FPGA based smart battery management system topology, which verify the feasibility of the proposed FPGA based smart battery management system for portable electronic devices.

show abstract

Section: Simulation and Experimental Results Of Smart Chargingmentioning

confidence: 99%

Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices

et al. 2017

View full text Add to dashboard Cite

show abstract

“…It is known that the life cycle of the battery depends on the depth of discharge (DoD) and the operation range of SOC. The following Figure 3 and Table 3 show specific examples of these characteristics [23,24]. These characteristics of the battery are different in different BESS, but the preferred operating range of SOC can be determined to maximize the life cycle considering the battery specifications provided by manufacturer.…”

Section: The Life Cycle Of Bessmentioning

confidence: 99%

“…It is known that the life cycle of the battery depends on the depth of 48 discharge (DoD) and the operation range of SOC. The following Figure 3 and Table 3 show specific 49 examples of these characteristics [23][24].…”

mentioning

confidence: 99%

Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System

Choi

Kook

2019

Energies

View full text Add to dashboard Cite

As the battery energy storage system (BESS) has been considered to be a solution to the diminished performance of frequency response in the Korean power system, in which renewable energy resources (RESs) are expected to increase rapidly, this paper proposes a control strategy for providing both the virtual inertia and primary frequency response considering the MW-scale BESS installed by the Korea Electricity Power Corporation (KEPCO). The benefit of such a fast and flexible BESS can be maximized by the proposed control strategy for making it provide both the inertia and primary frequency response, which would be deficit with the increased RES. In the proposed control strategy, the state of charge (SOC) is maintained in the specific range in which the life cycle is maximized, the interference of SOC recovery by frequency control is minimized, the responding capacity for providing the virtual inertia response is maximized during the transient period, and the performance requirements for frequency response are satisfied. The effectiveness of the proposed strategy is verified by both Korean power system model-based simulation and on-site operations.

show abstract

“…A lithium-ion BESS lifetime model based on accelerated ageing tests is developed in [6]. BESS operation for the provision of frequency reserves was further investigated in [19,20] from a BESS lifetime perspective. In [21], an electro-thermal circuit model is In wind dominated power systems with decreased power reserves from conventional generating units, wind turbines (WT) can contribute to frequency regulation but only if overloaded or operating in the curtailed mode.…”

Section: Introductionmentioning

confidence: 99%

“…Similar economic analysis of the BESS unit was carried out in [4]. However, the BESS units that were investigated in the aforementioned studies [4,6,[18][19][20][21][22], already had fixed sizes. Optimal sizing of BESS unit is one of the key aspects to consider in wind dominated power systems.…”

Section: Introductionmentioning

confidence: 99%

Battery Storage-Based Frequency Containment Reserves in Large Wind Penetrated Scenarios: A Practical Approach to Sizing

2018

Self Cite

View full text Add to dashboard Cite

This paper focuses on the sizing of a battery energy storage system providing frequency containment reserves in a power system with a large wind power penetration level. A three-stage sizing methodology including the different aspect of battery energy storage system performance is proposed. The first stage includes time-domain simulations, investigating battery energy storage system dynamic response and its capability of providing frequency reserves. The second stage involves lifetime investigation. An economic assessment of the battery unit is carried out by performing the last stage. The main outcome of the proposed methodology is to choose the suitable battery energy storage system size for providing frequency containment reserve from augmented wind power plants while fulfilling relevant evaluation criteria imposed for each stage.

show abstract

Degradation Behavior of Lithium-Ion Batteries Based on Lifetime Models and Field Measured Frequency Regulation Mission Profile

Cited by 88 publications

References 20 publications

Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices

Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices

Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System

Battery Storage-Based Frequency Containment Reserves in Large Wind Penetrated Scenarios: A Practical Approach to Sizing

Contact Info

Product

Resources

About