Online Parameter Identification for Supercapacitor State-of-Health Diagnosis for Vehicular Applications

Mejdoubi, Asmae El; Chaoui, Hicham; Gualous, Hamid; Sabor, Jalal

doi:10.1109/tpel.2017.2655578

Cited by 59 publications

(25 citation statements)

References 35 publications

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“…These methods are built on the basis of a basic RC model or a linear SCs system, that ignores self‐discharge of SCs. As SCs operate at the stage of electric charge redistribution, the precision of the SoE calculation of the previous practices would be degraded 23,30 . The simple method for estimating SoE is the ampere‐hour counting.…”

Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

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A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

Laadjal

Cardoso

2021

Int J Energy Res

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Summary Supercapacitors (SCs), or ultracapacitors, due to their attractive features, such as, high power density, long life cycle, etc., have received much attention from the transportation sector. SCs can be used as an additional energy storage system (ESS) in combination with lithium‐ion batteries to enhance the performance of electric vehicles (EVs) in dynamic states, including acceleration and regenerative braking modes of operation. Online accurate estimation of SCs' state of health (SoH) and state of energy (SoE) is essential for an efficient energy management and real‐time condition monitoring in EV applications. The accuracy of the estimation of the SoE and SoH is based on the model's efficiency, which ensures that in order to minimize the impact of aging, model parameters should be defined in real time. Nevertheless, because the SC model is obviously nonlinear and broad in scale, online identification of the parameters estimation is usually difficult. In this paper, a generalized SC model of high accuracy and good robustness is proposed. The classification of the estimation methodologies for SoH and SoE of SC will be very helpful in choosing the appropriate method for the development of reliable and secure ESS and an energy management strategy for EVs.

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Section: Aging and Estimation State Of Supercapacitorsmentioning

confidence: 99%

“…Among the most efficient online parameter identification techniques for SCs is the recursive least square (RLS) method. For a basic RC model, the RLS algorithm has also been commonly used to classify parameters 28‐30 …”

Section: Introductionmentioning

confidence: 99%

A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

Laadjal

Cardoso

2021

Int J Energy Res

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“…Recently, a promising e-health system based on wearable Internet of Things (IoTs) [6] is proposed to address above public health crisis, by continuously sensing users' real-time health information, e.g., temperature, heart rate, blood pressure, and electrocardiogram, etc. In the e-healthcare system, a sever is deployed to collect the health data and detect the abnormal phenomena for providing supporting information of diagnoses [7] [8]. With the analysis on the health data, the medical centre can observe the users' health conditions.…”

Section: Introductionmentioning

confidence: 99%

Fast Containment of Infectious Diseases With E-Healthcare Mobile Social Internet of Things

2021

IEEE Internet Things J.

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Infectious disease presents great hazards to public health, due to their high infectivities and potential lethalities. One of the effective methods to hinder the spread of infectious disease is vaccination. However, due to the limitation of resource and the medical budget, vaccinating all people is not feasible in practice. Besides, the vaccinating effects are difficult to be timely observed through traditional ways, such as outpatient services. To tackle above problem, we propose an e-healthcare mobile social internet of things (MSIoTs) based targeted vaccination scheme to fast contain the spread of the infectious disease. Specifically, we first develop an e-healthcare MSIoT architecture by integrating the e-healthcare system and MSIoTs, whereby the spread status of the infectious disease is timely collected. Furthermore, a graph coloring and spreading centrality-based optional candidate searching algorithm is devised to hunt for the candidates that are powerfully capable of preventing infectious disease. Especially, in order to reduce the vaccination cost, we design an optimal vaccinated target selection algorithm to choose a minimum number of targets whose locations are differentially distributed. Extensive simulations demonstrate that the proposed scheme can effectively prevent infectious disease as compared to conventional schemes. Index Terms-E-healthcare mobile social internet of things, infectious disease, fast containment, targeted vaccination.

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“…As an emerging energy storage device, ultracapacitors have been widely used in many high-power applications, including catenary-free trams [1,2], elevators [3], and electric vehicles [4][5][6]. Compared with traditional batteries, ultracapacitors have its merits such as faster charging and discharging, greater power density, and longer service lifetime [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Control for Multi-Module Charging Systems of Ultracapacitors

Zhang

Lei

et al. 2020

Energies

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Ultracapacitors have recently received great attention for energy storage due to their small pollution, high power density, and long lifetime. In many applications, ultracapacitors need to be charged with a high current, where a multi-module charging system is typically adopted. Although the classical decentralized control method can control the charging process of ultracapacitors, there exists a problem that the charging current may be imbalanced among charging modules. In this paper, a cooperative cascade charging method is proposed for the multi-module charging system to reduce the current imbalance among charging modules. First, the state-space averaging method and graph theory are used to model the multiple-module charging system. Second, an effective cooperative cascade control is proposed, where the outer voltage loop stabilizes the output voltage to the desired voltage and the inner current loop guarantees the current of each charger to follow the target current. The block diagram is used to establish the closed-loop model of the charging system. In order to evaluate the proposed charging method, a laboratory prototype was established. Compared with the classical decentralized method, this method can effectively suppress the current imbalance, which is proved by simulation and experimental results.

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Online Parameter Identification for Supercapacitor State-of-Health Diagnosis for Vehicular Applications

Cited by 59 publications

References 35 publications

A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

A review of supercapacitors modeling, SoH, and SoE estimation methods: Issues and challenges

Fast Containment of Infectious Diseases With E-Healthcare Mobile Social Internet of Things

Cooperative Control for Multi-Module Charging Systems of Ultracapacitors

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