Development of on-off duty cycle control with zero computational algorithm for CC-CV Li ion battery charger

Yong, Syakirin O.; Rahim, N.A.

doi:10.1109/ceat.2013.6775668

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…Not only for low power Li-ion charger, but the CC-CV method was also used for high power Li-ion battery charger [14]. Other improvement methods for CC-CV based charger are using on-off duty cycle control zero computational algorithms [15], and inductive power transmission with temperature protection [16]. The CC-CV based charger was also used in different charger topology, they are LLC resonant converter [17] and PFC Sheppard Taylor converter [18].…”

Section: Methodsmentioning

confidence: 99%

Implementation of a LiFePO4 battery charger for cell balancing application

Amin

Ismail

Hapid

2018

J. Mechatron. Electr. Power Veh. Technol.

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Cell imbalance has always happened in the series-connected battery. Series-connected battery needs to be balanced to maintain capacity and maximize the batteries lifespan. Cell balancing helps to dispart energy equally among battery cells. For active cell balancing, the use of a DC-DC converter module for cell balancing is quite common to achieve high efficiency, reliability, and high power density converter. This paper describes the implementation of a LiFePO4 battery charger based on the DC-DC converter module used for cell balancing application. A constant current-constant voltage (CC-CV) controller for the charger, which is a general charging method applied to the LiFePO4 battery, is presented for preventing overcharging when considering the nonlinear property of a LiFePO4 battery. The prototype is made up with an input voltage of 43V to 110V and the maximum output voltage of 3.75V, allowing to charge a LiFePO4 cell battery and balancing the battery pack with many cells from 15 to 30 cells. The goal is to have a LiFePO4 battery charger with an approximate power of 40W and the maximum output current of 10A. Experimental results on a 160AH LiFePO4 battery for some state of charge (SoC) shows that the maximum battery voltage has been limited at 3.77 volt and maximum charging current could reach up to 10.64 A. The results show that the charger can maintain battery voltage at the maximum reference voltage and avoid the LiFePO4 battery from overcharging.

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Section: Methodsmentioning

confidence: 99%

Implementation of a LiFePO4 battery charger for cell balancing application

Amin

Ismail

Hapid

2018

J. Mechatron. Electr. Power Veh. Technol.

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“…In Ref. [116], a cycle control algorithm associated with the zero computational method is proposed to optimize the CC-CV profile of Li-ion battery. This improved battery charger is validated to drive the CC-CV process accurately and smoothly.…”

Section: Optimization Of Battery Charging Approachmentioning

confidence: 99%

A brief review on key technologies in the battery management system of electric vehicles

et al. 2018

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Batteries have been widely applied in many high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system (BMS) is vital in ensuring safe and reliable operation of batteries. This paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging. First, popular battery types used in EVs are surveyed, followed by the introduction of key technologies used in BMS. Various battery models, including the electric model, thermal model and coupled electro-thermal model are reviewed. Then, battery state estimations for the state of charge, state of health and internal temperature are comprehensively surveyed. Finally, several key and traditional battery charging approaches with associated optimization methods are discussed.

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“…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.…”

mentioning

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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Development of on-off duty cycle control with zero computational algorithm for CC-CV Li ion battery charger

Cited by 11 publications

References 13 publications

Implementation of a LiFePO4 battery charger for cell balancing application

Implementation of a LiFePO4 battery charger for cell balancing application

A brief review on key technologies in the battery management system of electric vehicles

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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