Nonlinear Observer Design for RC Battery Model for Estimating State of Charge &amp; State of Health Based on State-Dependent Riccati Equation

Babazadeh, Reza; Khiabani, Ataollah Gogani

doi:10.1109/epec.2018.8598459

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…To calculate lithium battery charging using the state of charge equation (𝑆𝑂𝐶) [21] [22]is calculated by assessing the current capacity divided by the nominal capacity, which is expressed in the following equation [23]…”

Section: Power Consumptionmentioning

confidence: 99%

Tracking System Using GPS and Smart Card Authentification Based on Esp 32 Mcu

Suryowinoto,

Herlambang,

Widjanarko

et al. 2024

BAREKENG: J. Math. & App.

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Logistics distribution is a series of activities that are interconnected in each process. Therefore, an information system is necessary to record, report conditions, and display the current location of items directly. An Android-based application system is vulnerable to spoofing, such as fake GPS. The application is used to falsify the coordinates of digital map locations. This research aims to develop a common tracking system and prevent Fake GPS by employing the System Development Life Cycle method, consisting of several stages, i.e., planning, analysis, design, implementation, testing, and maintenance. In this research, a prototype of the tracker tool and its information system were made. It used an RFID Smart Card for courier identity authentication and a GPS module to track position information on a digital map. RFID and GPS were controlled using the ESP32. Furthermore, the Website served as an information system to read and create a QR Code to identify the goods carried. It received data from the RFID Smart Card and GPS, stored it in the Database, and displayed it online. The test results indicated that the tracker prototype succeeded in sending location data throughout the test and gained an average distance of 6.82 meters, which was different from a commercial GPS device. It had a delay of 268.5 seconds when the location was first read. The tracker prototype had an average power consumption of 1.5 watts, an average battery life of 2 hours, 28 minutes, and 40 seconds, as well as an average battery deficiency of 36.79%. In conclusion, the system test was successful.

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Section: Power Consumptionmentioning

confidence: 99%

Tracking System Using GPS and Smart Card Authentification Based on Esp 32 Mcu

Suryowinoto,

Herlambang,

Widjanarko

et al. 2024

BAREKENG: J. Math. & App.

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“…Half of the sum of T C (t) and T S (t) represents the radial mean temperature of the Li-ion battery at time t. 14,15 Other circuit approaches are Randle, 16 dynamic, 17,18 and RC [19][20][21][22] battery models. The RC model was used by Babazadeh and Khiabani, 23 which gave successful results for Li-ion and lead-acid. The capacitor represents the battery's surface capacitance and diffusion effects, while the circuit is shown in Figure 2 with terminal, surface, and tip resistance.…”

Section: Battery Modelsmentioning

confidence: 99%

“…11 F I G U R E 2 RC battery model. 23 T A B L E 1 Li-ion battery initial parameters. 23 Parameter Value Unit the major drawback of this model is its inability to model the battery's dynamic behavior.…”

Section: Battery Modelsmentioning

confidence: 99%

A comprehensive review of the aging mechanism and degradation costs of fresh and second‐life batteries based on analytical and deterministic methods

Terkes,

Demirci,

Gokalp

2024

Energy Storage

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Batteries' aging evolution and degradation functions may vary depending on the application area and various stress factors. Studies on its aging characteristics are ongoing, considering the unpredictable tendency of battery degradation during first and secondary usage periods. Battery degradation directly affects operating costs and prevents many stakeholders from making reliable short‐ or long‐term investment plans. Thus, this review study first introduces the battery models commonly used by researchers and provides an overview of the aging mechanism and estimation methods for health status and remaining capacity. Analytical and deterministic aging/degradation functions/models proposed by the researchers are discussed in detail, and cost equations based on degradation are reviewed. This approach was followed for the fresh and second‐life batteries by further investigating the impact of stress factors on the aging process and cost. The details of aging prediction approaches based on traditional methods, machine learning, and artificial intelligence are out of the scope of this review article. Discussing the shortcomings of aging analyses/functions and introducing different perspectives on the degradation characteristics will help researchers and provide a roadmap for many stakeholders.

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“…Ramtin et al have studied Self-stabilizing algorithms [19][20][21]. Khiabani et al have conducted research on design and implementation of an optimal switching controller based on State-Dependent Riccati equation [22][23][24]. Razzaghi has worked on nonlinear dynamics and control of an inertially actuated jumper robot [25][26], and on the following dynamic addressing by Ghayouraneh et al who have worked on Holistic optimization technique for solving low thermal conductivity [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Multi-Variable Stress Balancing Wireless Method Based on the Status of the Machines in the Cloud Spaces by Neural Networks<strong><em> </em></strong>

Zakeri¹,

Krishnasamy²,

Gomathi³

2020

Preprint

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Cloud computations are based on the computer networks such as Internet which presents a new pattern to provide, consume and deliver services such as infrastructure, software, ground and other resources using network. The inappropriate timing of assigning loads to the virtual machines in the computational space could lead to unbalance in the system. One of the challenging planning problems. In the cloud data centers is considering both assigning and migration (transfer) of the virtual machines with the ability of reconfiguration and the integrated features of the hosting physical machines. In this article, we introduce an integrated and dynamic timing algorithm based on the Genetic evolution algorithm. The suggested method was evaluated based on these factors and different inputs. Our suggested method is done using Java programming language and cloud-SME simulation. The results show that the execution time and the response time were improved by 12 and 1 percent respectively.

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Nonlinear Observer Design for RC Battery Model for Estimating State of Charge & State of Health Based on State-Dependent Riccati Equation

Cited by 8 publications

References 9 publications

Tracking System Using GPS and Smart Card Authentification Based on Esp 32 Mcu

Tracking System Using GPS and Smart Card Authentification Based on Esp 32 Mcu

A comprehensive review of the aging mechanism and degradation costs of fresh and second‐life batteries based on analytical and deterministic methods

Multi-Variable Stress Balancing Wireless Method Based on the Status of the Machines in the Cloud Spaces by Neural Networks<strong><em> </em></strong>

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