Intelligent charger with online battery diagnosis function

Doan, Van-Tuan; Vu, Van-Binh; Vu, Hai-Nam; Tran, Duc-Hung; Choi, Woojin

doi:10.1109/icpe.2015.7167997

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…For example, lightweight and low-cost SOH estimation solutions will allow further optimization of the aging mitigating strategies by providing online feedback of available effectiveness. To estimate SOH, Doan et al [12] introduce an intelligent charger that features an online impedance spectroscopy technique. However, the charger does not include any additional intelligence as discussed above.…”

Section: A Information Extractionmentioning

confidence: 99%

Intelligent Chargers Will Make Mobile Devices Live Longer

et al. 2020

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Battery aging is increasingly becoming a major concern in mobile devices such as laptops or smartphones and often results in premature device replacement. While previous studies have shown that improved charging strategies can increase cycle life, most common chargers do not sufficiently consider battery health. In this perspective paper, we give an overview of recent advances made in battery-health-aware charging and highlight the benefits of making chargers more intelligent to improve the cycle life of different battery-powered devices. In particular, we quantify the potential benefits that intelligent chargers will have and outline possible research directions to make them such.

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Section: A Information Extractionmentioning

confidence: 99%

Intelligent Chargers Will Make Mobile Devices Live Longer

et al. 2020

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“…Here, the interface converters are operated in an open-loop mode. Considering that the open-loop mode is not popular in actual applications, Choi et al add a sinusoidal perturbation voltage to the reference voltage of converters after the charge of batteries, i.e., relaxation time [229], [230]. Here, the output current of converters is close to 0, the converters work out of normal operation.…”

Section: ) Implementation Of Bim Based On Interface Converters A) Bas...mentioning

confidence: 99%

“…A3 [208], [224]- [227]: Adding sinusoidal [208] , square wave [224] , and white noise (WN) [227] perturbation to duty cycle boost [208] ( 100mHz-100Hz (28) [229], [230]: Sinusoidal excitation in relaxation time buck [229] (after charging phase)…”

Section: Lifetime Improvement Techniquesmentioning

confidence: 99%

Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective

Zhao

et al. 2023

IEEE Trans. Power Electron.

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Safety enhancement for lithium-ion batteries (LIBs) has received a lot of attention from academic and industrial fields. However, there is a lack of overview from the perspective of the application power electronics (PEs) in the systems. This article gives an overview of PE-based safety enhancement technologies for LIBs, mainly focusing on battery management. It introduces the latest advances in battery protection, balancing, monitoring, and lifetime improvement, all based on PE technologies. Detailed discussion and future research opportunities are given. This article aims to provide a reference for PE researchers who want to make some efforts in LIB safety.

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“…The LC output filter of the DC/DC converter has an inductance value, L Bat , which has been calculated taking into consideration: (i) the maximum ripple current allowed by the batteries, and (ii) the ripple current through L Bat , ∆I L Bat , should guarantee the continuous current conduction mode if the current is higher than 10% of the maximum current. The value of L Bat is calculated from Equation (3), where VDC is the DC bus voltage and Fsw is the switching frequency of the converter [49]. The values of the input and output capacitances, Ci and Co, can be calculated from (4) and (5), respectively.…”

Section: Loadmentioning

confidence: 99%

“…The BESS is based on a BMS that optimizes the energy storage and implements an adequate charge procedure, which changes the charging rate and plans the SOC of the battery depending on the MG scenarios. The BMS has all the elements summarized in Table 2 [45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. A battery electrical model is described, which allows for determining all the static and dynamic characteristics of the battery.…”

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confidence: 99%

Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

et al. 2018

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This study is focused on two areas: the design of a Battery Energy Storage System (BESS) for a grid-connected DC Microgrid and the power management of that microgrid. The power management is performed by a Microgrid Central Controller (MGCC). A Microgrid operator provides daily information to the MGCC about the photovoltaic generation profile, the load demand profile, and the real-time prices of the electricity in order to plan the power interchange between the BESS and the main grid, establishing the desired state of charge (SOC) of the batteries at any time. The main goals of the power management strategy under study are to minimize the cost of the electricity that is imported from the grid and to maximize battery life by means of an adequate charging procedure, which sets the charging rate as a function of the MG state. Experimental and simulation results in many realistic scenarios demonstrate that the proposed methodology achieves a proper power management of the DC microgrid.

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Intelligent charger with online battery diagnosis function

Cited by 6 publications

References 11 publications

Intelligent Chargers Will Make Mobile Devices Live Longer

Intelligent Chargers Will Make Mobile Devices Live Longer

Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective

Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

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