- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Electric Vehicles and Infrastructure
- Advancements in Battery Materials
- Electric and Hybrid Vehicle Technologies
- Sensorless Control of Electric Motors
- Wind Turbine Control Systems
- Power Systems and Renewable Energy
- Fault Detection and Control Systems
- Electric Motor Design and Analysis
- Magnetic Bearings and Levitation Dynamics
- Photovoltaic System Optimization Techniques
- Plasma and Flow Control in Aerodynamics
- Energy Harvesting in Wireless Networks
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Control and Stability of Dynamical Systems
- Islanding Detection in Power Systems
- Advanced Sensor and Control Systems
- Silicon Carbide Semiconductor Technologies
- Smart Grid Energy Management
- HVDC Systems and Fault Protection
- Thermal Analysis in Power Transmission
South China University of Technology
2016-2025
Dongguan University of Technology
2019-2021
Xi'an Jiaotong University
2000-2008
Kyoto University
1997-2000
Lithium-ion batteries (LIBs) have been widely used in various fields. In order to ensure the safety of LIBs, it is necessary accurately estimate state health (SOH) LIBs. This paper proposes a SOH hybrid estimation method based on incremental capacity (IC) curve and back-propagation neural network (BPNN). The voltage current data LIB during constant (CC) charging process are convert into IC curves. Taking account incompleteness actual process, this divides multiple segments for prediction....
Accurate state of health (SOH) estimation is critical to the operation, maintenance, and replacement lithium-ion batteries (LIBs), which have penetrated almost every aspect our life. This paper introduces a new approach accurately estimate SOH for rechargeable based on corresponding charging process long short-term memory recurrent neural network (LSTM-RNN). In order learn mapping function without employing battery models filtering techniques, LSTM-RNN initially fed into indicators (HIs)...
An estimation of the power battery state charge (SOC) is related to energy management, cycle life and use cost electric vehicles. When a lithium-ion used in an vehicle, SOC displays very strong time-dependent nonlinearity under influence random factors, such as working conditions environment. Hence, research on estimating for vehicle great theoretical significance application value. In this paper, according dynamic response terminal voltage during discharging process, second-order RC circuit...
Since cable insulation with low thermal conductivity occupies a large proportion of high-voltage cable, an optimization analysis on dynamic behavior can be very useful to improve the accuracy rating. In this paper, is carried out by combining theoretical method and finite-element (FEA) method. Based analysis, it proved that using IEC recommended transient model will bring certain error temperature evaluation, especially at early stage rise. Moreover, in implementable for developed. The...
In a battery management system (BMS), equalizer is used to achieve voltage consistency between series connected cells. Recently, serious inconsistency has been founded exist in retired batteries, and traditional equalizers are slow or inefficient handle the situation. The multicell-to-multicell (MC2MC) topology, which can directly transfer energy from consecutive strong cells weak cells, promising solve problem, but its performance limited by existing converter. Therefore, this paper...
The open-circuit voltage (OCV) curve has a significant influence on the accuracy of state charge (SOC) estimation based equivalent circuit models (ECMs). However, OCV curves are tested through offline experiments and hard to be very accurate because they constantly change with test method’s ambient temperature aging status. Recently, researchers have attempted improve by increasing volume sample data or updating/reconstructing combined practical operation data. Still, prior tests essential,...
Abstract To address the stability issues of microgrid system for power battery formation and grading testing systems in scenarios involving multiple parallel converters, this paper proposes a hybrid dual‐mode control strategy combining grid‐following grid‐forming modes to ensure stable operation system. However, conventional switching between two strategies during converter can lead transient current surges, which may even affect converter. Therefore, studies characteristics strategies....
The model predictive direct power control (MPDPC) has attracted significant attention due to its outstanding dynamic response and high factor. However, the variable switching frequency makes design of alternating current (ac) filter more challenging, heavy computational burden limits application MPDPC. This paper proposed a new cost function four steps' MPDPC (FSMPDPC) scheme for T-type inverters. can reduce number division operations does not require calculating duty cycles all vectors....
To eliminate the influence of inconsistency on cycle life and available capacity battery packs, improve balancing speed, a novel inductor-based layered bidirectional equalizer (IBLBE) is proposed. The composed two layers circuits connected in parallel. Each layer contains multiple sub-circuits based buck-boost converters. These can equalize corresponding cells simultaneously, allow dynamic adjustment equalization path threshold. Analysis simulation results demonstrate IBLBE has higher level...
Cell balancing plays an important role in preserving the life of series-connected battery packs; without a suitable system, individual cell voltages will differ over time, and pack capacity decrease quickly. This paper presents novel power inductor-based bidirectional lossless equalization circuit. circuit consists several sub-circuits, which allow dynamic adjustment path threshold. The simulation experiment results demonstrate that proposed circuit, features simple control method, fast...
Nowadays, a model predictive control has gained lot of attractions for power converter. To overcome the defects conventional and achieve better performance, this article presents multivector (MV-MPPC) with low computational burden grid-tied quasi-Z-source inverter (qZSI). Compared (MPPC) that adopts only one vector in period, proposed MV-MPPC applies several vectors including two active vectors, null vector, shoot-through (ST) to fulfill expected performance qZSI. By calculating optimal duty...
Model predictive power control (MPPC) has been receiving plenty of concern due to its fast dynamic response. However, the varying switching frequency makes harmonics output voltage vary over a wide scope, which adds difficulty in designing alternating current (ac) filter. Here, on basis active and reactive derivatives each vector effect states neutral point (NP) voltage, we present an MPPC with dual vectors (MPPCDV) three-level (3L) inverter. In this algorithm, new sequence is provided...
The research object of this paper is single-phase PWM rectifier, the purpose to reduce total harmonic distortion (THD) grid-side current. A model predictive current control (MPCC) with fixed switching frequency and dead-time compensation proposed. First, a combination an effective vector two zero vectors used fix frequency, prediction equation based on vector’s optimal action time derived. resolved from cost function. Furthermore, in order perfect established suppress waveform as consequence...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Many battery equalizers have been proposed to achieve voltage consistency between series connected cells. Among them, the multicell-to-multicell (MC2MC) equalizers, which can directly transfer energy from consecutive more-charged cells less-charged cells, enable fast balancing and a high efficiency. However, due limitations of it is not possible equalization reduce size circuit at same time. Therefore, MC2MC equalizer based on full-bridge bipolar-resonant LC Converter (FBBRLCC) in this...
Hybrid energy storage systems (HESS) composed of a battery and ultracapacitor (UC) provide feasible solution to the economy electric vehicles (EVs). To fully exploit potential HESSs, power distribution strategy that can split between UC in HESSs plays an important role. Therefore, novel its online application are proposed this paper. First, new simple model is proposed, parameters optimized offline through particle swarm optimization (PSO). Then, driving condition recognizer based on neural...
A optimization model of sizing the storage section in a renewable power generation system was set up, and two methods were used to solve model: genetic algorithm or combinatorial by neural network. The includes photovoltaic arrays, lead-acid battery flywheel. optimal can be considered as constrained problem: minimization total capacity energy system, subject main constraint loss supply probability (LPSP). Both got good results. We see that, network lessen calculation time, with results change little.
Various balancing topology and control methods have been proposed for the inconsistency problem of battery packs. However, these strategies only focus on a single objective, ignore mutual interaction among various factors are based external performance pack inconsistency, such as voltage state charge (SOC) balancing. To solve problems, multi-objective predictive (MOPBC) current is in this paper, namely, driving process an electric vehicle, using to predict output next time. Based...
The third order of the high frequency parts whole wind speed are changed greatly, it is input turbine. determines control value, so value greatly in short time. controller has determine time to work. Hence, prediction introduced. Simply composed by basic signal and instantaneous signal, which contains main available power speed. To get good avoid work controller, low picked up through decomposition wavelet multi resolution analysis. By analyzing predict result smoothed data series decomposed...
Model‐predictive direct‐power control (MPDPC) has attracted increasing attention from scholars because of its outstanding dynamic response and high‐power factor. However, major shortcoming is the high‐computational cost, which limits application in three‐level (3L) converters. By dividing conventional MPDPC into two steps, a double‐step (DMPDPC) algorithm presented to address this problem. The first step dedicated searching sector including an optimal switching state (OSS). In second step,...