• Journal of Power Electronics
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• v.15 no.3
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• pp.775-785
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• 2015

Many equalization circuits have been proposed to improve pack performance and reduce imbalance. Although bidirectional equalization topologies are promising in these methods, pre-equalization global equalization strategy is lacking. This study proposes a novel state-of-charge (SoC) equalization algorithm for bidirectional equalizer based on particle swarm optimization (PSO), which is employed to find optimal equalization time and steps. The working principle of bidirectional equalization topologies is analyzed, and the reason behind the application of SoC as a balancing criterion is explained. To verify the performance of the proposed algorithm, a pack with 12 LiFePO4 batteries is applied in the experiment. Results show that the maximum SoC gap is within 2% after equalization, and the available pack capacity is enhanced by 13.2%. Furthermore, a comparison between previously used methods and the proposed PSO equalization algorithm is presented. Experimental tests are performed, and results show that the proposed PSO equalization algorithm requires fewer steps and is superior to traditional methods in terms of equalization time, energy loss, and balancing performance.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.965-980
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• 2011

In this paper, the use of conditional Fuzzy C-Means (CFCM) aimed at estimation of desired states of an unknown digital communication channel is investigated for blind channel equalization. In the proposed CFCM, a collection of clustered centers is treated as a set of pre-defined desired channel states, and used to extract channel output states. By considering the combinations of the extracted channel output states, all possible sets of desired channel states are constructed. The set of desired states characterized by the maximal value of the Bayesian fitness function is subsequently selected for the next fuzzy clustering epoch. This modification of CFCM makes it possible to search for the optimal desired channel states of an unknown channel. Finally, given the desired channel states, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In a series of simulations, binary signals are generated at random with Gaussian noise, and both linear and nonlinear channels are evaluated. The experimental studies demonstrate that the performance (being expressed in terms of accuracy and speed) of the proposed CFCM is superior to the performance of the existing method exploiting the "conventional" Fuzzy C-Means (FCM).

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.33-38
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• 2017

In this paper, a 4-channel common-cathode VCSEL diode driver array with 3.125 Gb/s per channel operation speed is realized. In order to achieve faster speed of the switching main driver with relatively large transistors, the transmitter array chip consists of a pre-amplifier with active inductor stage and also an input buffer with modified equalizer, which leads to bandwidth extension and reduced current consumption. The utilized VCSEL diode provides inherently 2.2 V forward bias voltage, $50{\Omega}$ resistance, and 850 fF capacitance. In addition, the main driver based upon current steering technique is designed, so that two individual current sources can provide bias currents of 3.0 mA and modulation currents of 3.3 mA to VCSEL diodes. The proposed 4-channel VCSEL driver array has been implemented by using a $0.11-{\mu}m$ CMOS technology, and the chip core occupies the area of $0.15{\times}0.18{\mu}m^2$ and dissipates 22.3 mW per channel.