Fuzzy controlled fast charging system for lithium-ion batteries

Cheng, Ming-Wang; Wang, Shih-Ming; Lee, Yuang-Shung; Hsiao, Sung-Hsin

doi:10.1109/peds.2009.5385724

Cited by 26 publications

(11 citation statements)

References 7 publications

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“…In this stage, the voltage drop across the switches M 1n and M 4n equaled the product of the switches' turn-on resistance R DS_on and transformer currents I n(t) . The currents from batteries B 4 and B 1 negatively increased, but the currents from batteries B 3 and B 2 positively increased. The negative current flow waveform meant that the excess energy flowed from the battery into the converter.…”

Section: Operation Of the Single-stage Synchronous Forward Ces Cmentioning

confidence: 95%

“…M 2n and M 3n were turned off. Some of the energies from batteries B 1 , B 2 , B 3 and B 4 are interchanged and some of the energies are stored in each transformer at a magnetizing inductance (L m ) and leakage inductance (L lk ). In this stage, the voltage drop across the switches M 1n and M 4n equaled the product of the switches' turn-on resistance R DS_on and transformer currents I n(t) .…”

Section: Operation Of the Single-stage Synchronous Forward Ces Cmentioning

confidence: 99%

“…The battery output signals were G 1 , G 2 , G 3 and G 4 . These signals were sent to the MCU for computing and generating gate-driving signals for the CEC modules.…”

Section: Operation Of the Single-stage Synchronous Forward Ces Cmentioning

confidence: 99%

See 2 more Smart Citations

Low-Voltage-Stress AC-Linked Charge Equalizing System for Series-Connected VRLA Battery Strings

Karnjanapiboon¹,

Jirasereeamornkul²,

Monyakul³

2013

Journal of Power Electronics

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This paper presents a low voltage-stress AC-linked charge equalizing system for balancing the energy in a serially connected, valve-regulated lead acid battery string using a modular converter that consists of multiple transformers coupled together. Each converter was coupled through an AC-linked bus to increase the overall energy transfer efficiency of the system and to eliminate the problem of the unbalanced charging of batteries. Previous solutions are based on centralized and modularized topologies. A centralized topology requires a redesign of the hardware and related components. It also faces a high voltage stress when the number of batteries is expanded. Modularized solutions use low-voltage-stress, double-stage, DC-linked topologies which leads to poor energy transfer efficiency. The proposed solution uses a low-voltage stress, AC-linked, modularized topology that makes adding more batteries easier. It also has a better energy transfer efficiency. To ensure that the charge equalization system operates smoothly and safely charges batteries, a small intelligent microcontroller was used in the control section. The efficiency of this charge equalization system is 85%, which is 21% better than other low-voltage-stress DC-linked charging techniques. The validity of this approach was confirmed by experimental results.

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Section: Operation Of the Single-stage Synchronous Forward Ces Cmentioning

confidence: 95%

Section: Operation Of the Single-stage Synchronous Forward Ces Cmentioning

confidence: 99%

See 1 more Smart Citation

Low-Voltage-Stress AC-Linked Charge Equalizing System for Series-Connected VRLA Battery Strings

Karnjanapiboon¹,

Jirasereeamornkul²,

Monyakul³

2013

Journal of Power Electronics

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“…Meanwhile, [11][12][13] propose the use of FCSs in DSPs to charge Li-ion batteries, obtaining more efficient and secure control systems with charging times ranging from 15 minutes [12] to 4.5 hours [13].…”

Section: Introductionmentioning

confidence: 99%

Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid

Martínez

Padilla-Medina

Cano-Andrade

et al. 2018

International Journal of Photoenergy

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This study presents the development and application of a fuzzy control system (FCS) for the control of the charge and discharge process for a bank of batteries connected to a DC microgrid (DC-MG). The DC-MG runs on a maximum power of 1 kW with a 190 V DC bus using two photovoltaic systems of 0.6 kW each, a 1 kW bidirectional DC-AC converter to interconnect the DC-MG with the grid, a bank of 115 Ah to 120 V lead-acid batteries, and a general management system used to define the operating status of the FCS. This FCS uses a multiplexed fuzzy controller, normalizing the controller's inputs and outputs in each operating status. The design of the fuzzy controller is based on a Mamdani inference system with AND-type fuzzy rules. The input and output variables have two trapezoidal membership functions and three triangular membership functions. LabVIEW and the NI myRIO-1900 embedded design device were used to implement the FCS. Results show the stability of the DC bus of the microgrid when the bank of batteries is in the charging and discharging process, with the bus stabilized in a range of 190 V ± 5%, thus demonstrating short response times to perturbations considering the microgrid's response dynamics.

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“…FLC has been used for both DC and AC microgrids (grid-connected and island mode of operations) in the literature for several purposes due to its good performance and simplicity. FLC has been used for Maximum Power Point Tracking (MPPT) of solar PV [1][2][3][4][5], frequency regulation [6,7], controlling batteries' output charger current [8] and improvement in wind power prediction accuracy [9].…”

Section: Introductionmentioning

confidence: 99%

Power Management of AC Islanded Microgrids using Fuzzy Logic

Badwawi¹,

Issa²,

Mallick³

et al. 2016

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

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In an islanded AC microgrid consisting of renewable energy sources, battery, and load, the battery balances the difference between power generated by renewable sources and that consumed by the load. However, battery charging capacity is limited and its state of charge needs to be maintained within the safety limits. Furthermore, battery has limited maximum charging and discharging power. This paper proposes a controller based on fuzzy logic to prevent the battery state of charge and charging/discharging power from exceeding their limits regardless of variations in load and intermittent power of renewable sources. The microgrid considered in this paper consists of PV, battery, load and auxiliary supplementary unit. The fuzzy logic controller alters the AC bus frequency which is used by the local controllers of the parallel units to curtail the power generated by PV or to supplement power from the auxiliary unit. The main merits of the proposed controller are simplicity and easiness of implementation without the need for any communication links between the parallel units. Matlab/Simulink results are presented to validate the performance of the proposed controller.

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Fuzzy controlled fast charging system for lithium-ion batteries

Cited by 26 publications

References 7 publications

Low-Voltage-Stress AC-Linked Charge Equalizing System for Series-Connected VRLA Battery Strings

Low-Voltage-Stress AC-Linked Charge Equalizing System for Series-Connected VRLA Battery Strings

Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid

Power Management of AC Islanded Microgrids using Fuzzy Logic

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