Development of an intelligent lithium-ion battery-charging management system for electric vehicle

Lan, Chien-Wu; Lin, Shih-Sung; Syue, Sih-Yan; Hsu, Hao-Yen; Huang, Tien-Cheng; Tan, Kean Ming

doi:10.1109/icasi.2017.7988277

Cited by 11 publications

(3 citation statements)

References 4 publications

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“…The following contribution [7] introduces the Dynamic Equalization for Lithium Battery Management System (LBMS). The paper [6] proposes an intelligent Li-ion battery charging management system, followed by the implementation of the battery monitoring system and the balance platform (BMBP) with a recharging.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Control Method for Priority Driven Embedded Device

Janošová

Prauzek

Konecny

et al. 2018

Advances in Intelligent Systems and Computing

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The current goal is to minimize an embedded system consumption while maintaining all its features. Well-tuned power management becomes even more important in systems without any possibility of energy harvesting that rely solely on the battery power. The aim is a significant increase in the battery life without a desirable degradation in the quality of the service.A fuzzy rule-based classifier is intended to secure a simulation of the priority of the operation and the battery voltage. The energy consumption is a critical concern in the battery operated embedded devices. Power management is one of the most important consider aspects in low-power embedded systems design.This contribution studies the low power system in terms of the battery voltage level, depending on system priorities. The goal is to achieve the best possible efficiency of a whole device. The article offers a list of arrangements and applied methods having the most significant impact on the extension of the systems operating time.

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Section: Related Workmentioning

confidence: 99%

A Fuzzy Control Method for Priority Driven Embedded Device

Janošová

Prauzek

Konecny

et al. 2018

Advances in Intelligent Systems and Computing

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“…Hence, improving their performance and developing new chemical compositions is not a pressing task [3]. The study of new Battery Management Systems (BMS) [3][4][5][6] could lead to an improvement in the battery lifecycle through the monitoring of suitable battery cell indicators. Among these, the State of Charge (SoC) and the State of Health (SoH) are particularly important [7].…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Stighezza¹,

Bianchi²,

Munari³

2021

Energies

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Monitoring the State of Charge (SoC) in battery cells is necessary to avoid damage and to extend battery life. Support Vector Machine (SVM) algorithms and Machine Learning techniques in general can provide real-time SoC estimation without the need to design a cell model. In this work, an SVM was trained by applying an Ant Colony Optimization method. The obtained trained model was 10-fold cross-validated and then designed in Hardware Description Language to be run on FPGA devices, enabling the design of low-cost and compact hardware. Thanks to the choice of a linear SVM kernel, the implemented architecture resulted in low resource usage (about 1.4% of Xilinx Artix7 XC7A100TFPGAG324C FPGA), allowing multiple instances of the SVM SoC estimator model to monitor multiple battery cells or modules, if needed. The ability of the model to maintain its good performance was further verified when applied to a dataset acquired from different driving cycles to the cycle used in the training phase, achieving a Root Mean Square Error of about 1.4%.

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“…In order to increase the efficiency and extend the lifetime of battery strings, a battery management system (BMS) [10][11][12][13][14][15][16] is a key feature which is utilized to monitor the parameters of the battery. Also, BMS plays an important role for management and protection of the battery.…”

Section: Introductionmentioning

confidence: 99%

A Fast Charging Balancing Circuit for LiFePO4 Battery

Chang

et al. 2019

Electronics

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In this paper, a fast charging balancing circuit for LiFePO4 battery is proposed to address the voltage imbalanced problem of a lithium battery string. During the lithium battery string charging process, the occurrence of voltage imbalance will activate the fast balancing mechanism. The proposed balancing circuit is composed of a bi-directional converter and the switch network. The purpose of bi-directional is that the energy can be delivered to the lowest voltage cell for charging mode. On the other hand, the energy stored in the magnetizing inductors of the transformer can be charged back to the higher voltage cell in recycling mode. This novel scheme includes the following features: (1) The odd-numbered and even-numbered cells in the string with the maximum differential voltage will be chosen for balancing process directly. In this topology, there is no need to store and deliver the energy through any intermediate or the extra storing components. That is, the energy loss can be saved to improve the efficiency, and the fast balancing technique can be achieved. (2) There is only one converter to complete the energy transfer for voltage balancing process. The concept makes the circuit structure much simpler. (3) The structure has bi-directional power flow and good electrical isolation features. (4) A single chip controller is applied to measure the voltage of each cell to achieve the fast balancing process effectively. At the end of the paper, the practical test of the proposed balancing method on LiFePO4 battery pack (28.8 V/2.5 Ah) is verified and implemented by the experimental results.

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Development of an intelligent lithium-ion battery-charging management system for electric vehicle

Cited by 11 publications

References 4 publications

A Fuzzy Control Method for Priority Driven Embedded Device

A Fuzzy Control Method for Priority Driven Embedded Device

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

A Fast Charging Balancing Circuit for LiFePO4 Battery

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