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Lithium‐ion battery is the commonly used energy storage technology in electric vehicles (EVs) because of its inexpensive manufacturing cost and high energy capacity. For optimal utilization of its capacity and lifetime, reliable state of health (SoH) monitoring solutions have to be included in the battery management system (BMS). SoH of a cell is affected by several reasons such as internal degradation or external damages that need to be estimated. This article analyses the current density in electrode and electrolyte of an EV lithium‐ion cell using a simulation assisted method that leads to improvement in SoH estimation accuracy. The experimental results are analysed through the fusion of the magnetic field images captured by quantum fluxgate magnetometers, installed on the surface of the cell, together with the real‐time simulation of the multi‐physics model of the cell. The magnetic field sensors measure the magnetic field intensity with an accuracy of ±2 mT. The real‐time simulation input data is updated from the measurements of both the magnetic field sensors and the battery cycler. The multi‐physics model of the cell is developed in COMSOL modelling software, and real‐time data fusion process is implemented on dSPACE Microlabbox real‐time simulator. Results confirm that the proposed monitoring solution provides useful insight that can be employed in ageing estimation of EV batteries.
Mehrnaz Javadipour; Kamyar Mehran. Analysis of current density in the electrode and electrolyte of lithium‐ion cells for ageing estimation applications. IET Smart Grid 2021, 4, 176 -189.
AMA StyleMehrnaz Javadipour, Kamyar Mehran. Analysis of current density in the electrode and electrolyte of lithium‐ion cells for ageing estimation applications. IET Smart Grid. 2021; 4 (2):176-189.
Chicago/Turabian StyleMehrnaz Javadipour; Kamyar Mehran. 2021. "Analysis of current density in the electrode and electrolyte of lithium‐ion cells for ageing estimation applications." IET Smart Grid 4, no. 2: 176-189.
Recently, there has been a focus on natural and man-made disasters with a high-impact low-frequency (HILF) property in electric power systems. A power system must be built with “resilience” or the ability to withstand, adapt and recover from disasters. The resilience metrics (RMs) are tools to measure the resilience level of a power system, normally employed for resilience cost–benefit in planning and operation. While numerous RMs have been presented in the power system literature; there is still a lack of comprehensive framework regarding the different types of the RMs in the electric power system, and existing frameworks have essential shortcomings. In this paper, after an extensive overview of the literature, a conceptual framework is suggested to identify the key variables, factors and ideas of RMs in power systems and define their relationships. The proposed framework is compared with the existing ones, and existing power system RMs are also allocated to the framework’s groups to validate the inclusivity and usefulness of the proposed framework, as a tool for academic and industrial researchers to choose the most appropriate RM in different power system problems and pinpoint the potential need for the future metrics.
Habibollah Raoufi; Vahid Vahidinasab; Kamyar Mehran. Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook. Sustainability 2020, 12, 9698 .
AMA StyleHabibollah Raoufi, Vahid Vahidinasab, Kamyar Mehran. Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook. Sustainability. 2020; 12 (22):9698.
Chicago/Turabian StyleHabibollah Raoufi; Vahid Vahidinasab; Kamyar Mehran. 2020. "Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook." Sustainability 12, no. 22: 9698.
For control-oriented battery management applications in electric vehicles, Equivalent Circuit Model (ECM) of battery packs offer acceptable modelling accuracy and simple mathematical equations for including the cell parameters. However, in real-time applications, circuit parameters continuously changes by varying operating conditions and state of the battery and thus, require an online parameter estimator. The estimator must update the battery parameters with less computational complexity suitable for real-time processing. This paper presents a novel Online Reduced Complexity (ORC) technique for the online parameter estimation of the ECM. The proposed technique provides significantly less complexity (hence estimation time) compared to the existing technique, but without compromising the accuracy. We use Trust Region Optimization (TRO) based Least Square (LS) method as an updating algorithm in the proposed technique and validate our results experimentally using Nissan Leaf (pouch) cells and with the help of standard vehicular testing cycles, i.e. the Dynamic Driving Cycle (DDC), and the New European Driving Cycle (NEDC).
Komal Saleem; Kamyar Mehran; Zunaib Ali. Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery. Electric Power Systems Research 2020, 185, 106356 .
AMA StyleKomal Saleem, Kamyar Mehran, Zunaib Ali. Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery. Electric Power Systems Research. 2020; 185 ():106356.
Chicago/Turabian StyleKomal Saleem; Kamyar Mehran; Zunaib Ali. 2020. "Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery." Electric Power Systems Research 185, no. : 106356.
Based on K-ε Standard Wall turbulence model (2-Equation) and Navier-Stokes (N-S) equations defined for incompressible fluids, fluid flow behaviour around hyperloop pods in an evacuated tube was simulated using ANSYS fluent solver assuming steady state and two dimensional conditions. In this research, to develop the case studies, using combination of different head and tail shape profile, four kind of hyperloop pods were developed with the aid of SolidWorks. These four pods have been investigated for their aerodynamic behaviour as four different case scenarios. The results of simulation depicts that an atmospheric pressure of 100 Pa with blockage ratio of 0.36 in tube provides the best possible aerodynamic behaviour for the designed hyperloop pod models. This research finds that overall aerodynamic behaviour of hyperloop pods can be varied by changing the head and tail shape profile of pods and a particular combination of head and tail shape profile can provide optimally best aerodynamic capabilities. Thus, this research paper provides a novel method of obtaining best aerodynamic capabilities in hyperloop pods by designing head profile optimally in combination with tail profile. This outcome will provide major contribution towards the development of hyperloop pods in future with better aerodynamic behaviour resulting in lesser electrical energy required to propel the hyperloop pods in evacuated tube.
Yadawendr Kumar Singh; Kamyar Mehran. Numerical Analysis for Aerodynamic Behaviour of Hyperloop Pods. 2019, 1 .
AMA StyleYadawendr Kumar Singh, Kamyar Mehran. Numerical Analysis for Aerodynamic Behaviour of Hyperloop Pods. . 2019; ():1.
Chicago/Turabian StyleYadawendr Kumar Singh; Kamyar Mehran. 2019. "Numerical Analysis for Aerodynamic Behaviour of Hyperloop Pods." , no. : 1.
This paper proposes a novel Lyapunov stabilization analysis of discrete-time polynomial-fuzzy-model-based (PFMB) control systems with time delay under positivity constraint. The polynomial fuzzy model is constructed to describe the dynamics of a non-linear discrete-time system with time delay. A model-based polynomial fuzzy controller is designed using non-parallel distributed compensation (PDC) technique to stabilize the system while driving the system states to positive using the positivity constraints. The Lyapunov stability and positivity conditions are formulated as sum-of squares (SOS). To relax the conservativeness of the obtained stability results, two main methods are proposed in this paper: 1) the piecewise linear membership functions (PLMFs) is used to introduce the approximate error between piecewise and the original membership functions into the stability analysis, 2) introduce the boundary information of the premise variables into the stability analysis since the premise variables hold rich non-linearity information. A Numerical examples are given to demonstrate the effectiveness of the proposed approach.
Xiaomiao Li; Kamyar Mehran. Model-Based Control and Stability Analysis of Discrete-Time Polynomial Fuzzy Systems With Time Delay and Positivity Constraints. IEEE Transactions on Fuzzy Systems 2019, 27, 2090 -2100.
AMA StyleXiaomiao Li, Kamyar Mehran. Model-Based Control and Stability Analysis of Discrete-Time Polynomial Fuzzy Systems With Time Delay and Positivity Constraints. IEEE Transactions on Fuzzy Systems. 2019; 27 (11):2090-2100.
Chicago/Turabian StyleXiaomiao Li; Kamyar Mehran. 2019. "Model-Based Control and Stability Analysis of Discrete-Time Polynomial Fuzzy Systems With Time Delay and Positivity Constraints." IEEE Transactions on Fuzzy Systems 27, no. 11: 2090-2100.
This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.
Seyed Amir Alavi; Kamyar Mehran; Yang Hao; Ardavan Rahimian; Hamed Mirsaeedi; Vahid Vahidinasab. A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks. IEEE Transactions on Smart Grid 2018, 10, 4323 -4337.
AMA StyleSeyed Amir Alavi, Kamyar Mehran, Yang Hao, Ardavan Rahimian, Hamed Mirsaeedi, Vahid Vahidinasab. A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks. IEEE Transactions on Smart Grid. 2018; 10 (4):4323-4337.
Chicago/Turabian StyleSeyed Amir Alavi; Kamyar Mehran; Yang Hao; Ardavan Rahimian; Hamed Mirsaeedi; Vahid Vahidinasab. 2018. "A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks." IEEE Transactions on Smart Grid 10, no. 4: 4323-4337.
Energy management theory and techniques for home environments are facing several technical challenges in areas including the real-time scheduling, power distribution, and automation of network of home appliances/renewables for achieving maximum energy efficiency. In this paper, situational awareness (SA) has made this crucial decision making process more efficient, by providing the valuable data about the surrounding environment. In a smart home, apart from the electrical appliances, the intelligent sensors are also consuming energy while transmitting data or when they are in idle mode. In this contribution, our focus is on implementing and analysing a situational awareness-based ad-hoc network in a home environment, in order to reduce the energy consumption, and therefore, increasing the lifetime of these networks. The presented results demonstrate the effectiveness of the proposed SA-centric method, and further confirm the energy consumption in the intended environment is decreased dramatically due to the applied schedule and limitations on the working hours of the devices. Moreover, the sensors are switched to doze mode when there is no data to exchange.
Tannaz Monajemi; Ardavan Rahimian; Kamyar Mehran. Energy Management Using a Situational Awareness-Centric Ad-Hoc Network in a Home Environment. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017, 15 -24.
AMA StyleTannaz Monajemi, Ardavan Rahimian, Kamyar Mehran. Energy Management Using a Situational Awareness-Centric Ad-Hoc Network in a Home Environment. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2017; ():15-24.
Chicago/Turabian StyleTannaz Monajemi; Ardavan Rahimian; Kamyar Mehran. 2017. "Energy Management Using a Situational Awareness-Centric Ad-Hoc Network in a Home Environment." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 15-24.