Electric Vehicles for Smart Buildings: A Survey on Applications, Energy Management Methods, and Battery Degradation

Nazari, Shima; Borrelli, Francesco; Stefanopoulou, Anna G.

doi:10.1109/jproc.2020.3038585

Cited by 44 publications

(21 citation statements)

References 128 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The equation ( 13) is linearized by regression method, and then the LIB calendar aging can be modeled with the help of linear relation (14). The LIB calendar aging is calculated according to the LIB capacity (E BES ) and the SOC using equation (15). Finally, equation ( 16) models the amount of the LIB capacity fading due to the calendar aging process at time interval h.…”

Section: Ag Calmentioning

confidence: 99%

“…Due to the high investment costs of the LIB, it is necessary to integrate the BDC into the energy management problem to improve the financial analysis accuracy and increase the profitability of the LIB. In [13], [14], and [15], approximate models are proposed to incorporate the BDC in the LIB scheduling problem. In these models, the BDC is calculated in proportion to the amount of charging/discharging power.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

2023

View full text Add to dashboard Cite

This paper presents a novel battery degradation cost (BDC) model for lithium-ion batteries (LIBs) based on accurately estimating the battery lifetime. For this purpose, a linear cycle counting algorithm is devised to estimate the battery cycle aging. In this algorithm, the local maximum and minimum values of the profile of the battery state of charge are identified by the proposed linear formulations. Then, the battery cycle aging due to the complete and incomplete cycles is determined. In this step, the battery cycle aging during an incomplete cycle is calculated by converting it to two complete cycles. After that, the calendar aging process of the LIB is linearly formulated based on the semi-empirical model to estimate the BDC accurately. After linearizing the LIB degradation process, a mechanism for computing the BDC during the scheduling horizon is designed by modeling the BDC as a series of equal payments over the LIB lifetime. In order to incorporate the BDC in the battery energy management problem, an iterative algorithm is presented for efficiently calculating the BDC associated with the adopted charging/discharging strategy. The numerical simulation results indicate that integrating the battery degradation process into the battery scheduling problem can reduce the amount of the battery capacity fading by 32.81%, as well as increase the profit of battery owners by 1.21%. Moreover, the conducted analyses highlight the importance of considering the LIB calendar aging process in determining the optimal LIB capacity.INDEX TERMS Battery degradation cost (BDC), cycle aging process, calendar aging process, battery scheduling problem, wind energy.

show abstract

Section: Ag Calmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

2023

View full text Add to dashboard Cite

show abstract

“…First, being a controlled load, they can participate in demandside management and reduce the need for ESSs. Even more interestingly, with reverse power flow mechanisms, EVs can play the role of ESSs in the power grid [vehicleto-grid technology (V2G)] [157], [158]. Second, there is the opportunity to build mass grid-connected BESSs by reusing cheap second-life batteries from EVs [159], [160].…”

Section: B Electric Vehicles: Opportunities and Challengesmentioning

confidence: 99%

Grid-Connected Energy Storage Systems: State-of-the-Art and Emerging Technologies

et al. 2023

View full text Add to dashboard Cite

High penetration of renewable energy resources in the power system results in various new challenges for power system operators. One of the promising solutions to sustain the quality and reliability of the power system is the integration of energy storage systems (ESSs). This article investigates the current and emerging trends and technologies for grid-connected ESSs. Different technologies of ESSs cate-

show abstract

“…The voltage difference between the source V N and the end bus V 0 is [72]:

\begin{equation} {V}_{N}-{V}_{0}=\sum _{k=1}^{N}\sum _{j=k}^{N}\frac{{P}_{j}{R}_{j}+{Q}_{j}{X}_{j}}{{V}_{j}} \end{equation}

where N is the number of nodes, and P j, Q j, R j, X j are is the active power, reactive power, resistance and reactance of node j . It is obvious that both active and reactive power can be utilized to reduce the voltage deviation.…”

Section: Modelling Technology Of V2egmentioning

confidence: 99%

Vehicle to everything in the power grid (V2eG): A review on the participation of electric vehicles in power grid economic dispatch

Song

Chen

Yang

et al. 2022

Energy Conversion and Econom

View full text Add to dashboard Cite

The increasing popularity of electric vehicles (EVs) and the enhanced energy storage capability of batteries have made EVs adjustable resources in economic dispatching for power grids. The guidance and control of discharging EVs have become issues with everincreasing concerns, and the EVs can be discharged to other entities in the grid, which is called vehicle to everything in the power grid (V2eG) technology. When V2eG technologies become widespread, EVs could be widely distributed, fully controllable, and marketable power sources. As ideal mobile power sources, EVs are geographically available all the time. In this paper, the application process of V2eG technology is first introduced, and the current research status of V2eG technology is discussed. The modelling technology involved in V2eG technology is next analysed and discussed in detail. Then, the applications of V2eG technology in economic dispatch are summarized. Furthermore, research on communication technology for V2eG technology is investigated. In addition, the policies and electricity market access criteria related to V2eG are discussed, and the corresponding trading mechanisms are analysed. Finally, the related V2eG technologies are summarized, and the future development direction of V2eG technology is prospected.

show abstract

Electric Vehicles for Smart Buildings: A Survey on Applications, Energy Management Methods, and Battery Degradation

Cited by 44 publications

References 128 publications

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

Grid-Connected Energy Storage Systems: State-of-the-Art and Emerging Technologies

Vehicle to everything in the power grid (V2eG): A review on the participation of electric vehicles in power grid economic dispatch

Contact Info

Product

Resources

About