Colorless to black switching with high contrast ratio via the electrochemical process of a hybrid organic-inorganic perovskite

Colorless‐to‐black switching has attracted widespread attention for smart windows and multifunctional displays because they are more useful to control solar energy.However,it still remains a challenge owing to the tremendous difficulties in the design of completely reverse absorptions in transmissive and colored states.Herein,we report on an electrochemical device that can switch between colorless and black by using the electrochemical process of hybrid organic–inorganic perovskite MAPbBr_(3),which shows a high integrated contrast ratio of up to 73%from 400 to 800 nm.The perovskite solution can be used as the active layer to assemble the device,showing superior transmittance over the entire visible region in neutral states.By applying an appropriate voltage,the device undergoes reversible switching between colorless and black,which is attributed to the formation of lead and Br_(2)in the redox reaction induced by the electron transfer process in MAPbBr_(3).In addition,the contrast ratio can be modulated over the entire visible region by changing the concentration and the applied voltage.These results contribute toward gaining an insightful understanding of the electrochemical process of perovskites and greatly promoting the development of switchable devices.

A Tri-Salt Composite Electrolyte with Temperature Switch Function for Intelligently Temperature-Controlled Lithium Batteries

The intense research of lithium-ion batteries has been motivated by their successful applications in mobile devices and electronic vehicles.The emerging of intelligent control in kinds of devices brings new requirements for battery systems.The high-energy lithium batteries are expected to respond or react under different environmental conditions.In this work,a tri-salt composite electrolyte is designed with a temperature switch function for intelligently temperature-controlled lithium batteries.Specifically,the halide Li_(3)YBr_(6)together with LiTFSI and LiNO_(3)works as active fillers in a low-melting-point polymer matrix(polyethyleneglycol dimethyl ether(PEGDME)and polyethylene oxide(PEO)),which is further filled into the pre-lithiated alumina fiber skeleton.Above 60°C,the composite electrolyte exists in the liquid state and fully contacts with the working electrodes on the liquid–solid interface,effectively minimizing the interfacial resistance and leading to high discharge capacity in the cell.The electrolyte is changed into a solid state below 30°C so that the ionic conductivity is significantly reduced and the interface resistance is increased dramatically on the solid–solid interface.Therefore,by simply adjusting the temperature,the cell can be turned“ON”or“OFF”intentionally.This novel function of the composite electrolyte has enlightening significance in developing intelligently temperature-controlled lithium batteries.

Understand the Temperature Sensing Behavior of Solid-state Polymerized PEDOT Hybrid Based on X-ray Scattering Studies

Poly(3,4-ethylenedioxythiophene)(PEDOT) is one of the most successful conductive polymers that recently has been used in wearable sensors for human health monitoring. In this work, we prepared a series of PEDOT hybrids consisting of PEDOT, sodium poly(styrene sulfonate)(PSSNa) and polyethylene oxide(PEO), and their preparation could be scaled-up via an adapted solid-state polymerization process. The resistance of the as-prepared PEDOT:PSS/PEO hybrid shows clear temperature response, i.e., it decreases almost linearly with the temperature increase. To understand this phenomenon, the in situ synchrotron radiation wide-and small-angle X-ray scattering(WAXS/SAXS) characterizations were undertaken to study the temperature-dependent microstructure change of the PEDOT:PSS/PEO hybrid. It demonstrated that PEDOT formed conductive paths in the hybrids, which were not destroyed by the PEO crystallization. As temperature increased, the PEO crystals' melting and the accompanying reorganization of PEDOT chains endowed the hybrid sample temperature responsiveness. Based on these fundamental knowledges, the hybrid materials were used to fabricate flexible wearable sensor that showing temperature sensing performance with an accuracy of 1 ℃. These findings shed lights on the scalable manufacturing of wearable sensors for body temperature monitoring.

Hybrid Q-learning for data-based optimal control of non-linear switching system

In this paper,the optimal control of non-linear switching system is investigated without knowing the system dynamics.First,the Hamilton-Jacobi-Bellman(HJB)equation is derived with the consideration of hybrid action space.Then,a novel data-based hybrid Q-learning(HQL)algorithm is proposed to find the optimal solution in an iterative manner.In addition,the theoretical analysis is provided to illustrate the convergence and optimality of the proposed algorithm.Finally,the algorithm is implemented with the actor-critic(AC)structure,and two linear-in-parameter neural networks are utilized to approximate the functions.Simulation results validate the effectiveness of the data-driven method.

Hybrid Excitation Flux Switching Motor with Permanent Magnet Placed at Middle of Field Coil Slots and High Filling Factor Windings

Design and experimental studies on a hybrid excitation flux switching motor as a traction motor for hybrid electric vehicles drive are presented.A stator body of the motor consists of not only laminated silicon-iron electromagnetic steel and three-phase armature windings,but also both of field excitation coils and permanent magnets working together as a variable field magnetomotive force source.On the other hand,a rotor is composed of just laminated silicon-iron electromagnetic steel with salient poles like switched reluctance motor.To bring out the best in drive performances of the hybrid excitation flux switching motor as a variable flux motor for the application,each material adopted for the stator and rotor body should be designed properly in terms of motor efficiency,maximum torque and power densities and so forth.As some of them,in this paper,thinner silicon-iron electromagnetic steel sheet and permanent magnets with high remanent and low amount of Dysprosium used are applied for achieving higher motor efficiency.Moreover,all coils wound flatwise and edgewise using rectangular wires are introduced to realizing high filling factor for reduced copper losses.Experimental tests using a 60kW prototype of the motor demonstrates the designed motor has good motor efficiency under frequent operating points expected for the target vehicle drive.

Electromagnetic Performance Analysis of Flux-Switching Permanent Magnet Tubular Machine with Hybrid Cores

The performance of traditional flux switching permanent magnet tubular machine(FSPMTM)are improved by using new material and structure in this paper.The existing silicon steel sheet making for all mover cores or part of stator cores are replaced by soft magnetic composite(SMC)cores,and the lamination direction of the silicon steel sheet in stator cores have be changed.The eddy current loss of the machine with hybrid cores will be reduced greatly as the magnetic flux will not pass through the silicon steel sheet vertically.In order to reduce the influence of end effect,the unequal stator width design method is proposed.With the new design,the symmetry of the permanent magnet flux linkage has been improved greatly and the cogging force caused by the end effect has been reduced.Both 2-D and 3-D finite element methods(FEM)are applied for the quantitative analysis.

Hybrid-triggered consensus for multi-agent systems with time-delays,uncertain switching topologies, and stochastic cyber-attacks

We propose a new approach to discuss the consensus problem of multi-agent systems with time-varying delayed control inputs, switching topologies, and stochastic cyber-attacks under hybrid-triggered mechanism.A Bernoulli variable is used to describe the hybrid-triggered scheme, which is introduced to alleviate the burden of the network.The mathematical model of the closed-loop control system is established by taking the influences of time-varying delayed control inputs,switching topologies, and stochastic cyber-attacks into account under the hybrid-triggered scheme.A theorem as the main result is given to make the system consistent based on the theory of Lyapunov stability and linear matrix inequality.Markov jumps with uncertain rates of transitions are applied to describe the switch of topologies.Finally, a simulation example demonstrates the feasibility of the theory in this paper.

Development of High Torque and High Power Density Hybrid Excitation Flux Switching Motor for Traction Drive in Hybrid Electric Vehicles

This paper presents design feasibility study and development of a new hybrid excitation flux switching motor (HEFSM) as a contender for traction drives in hybrid electric vehicles (HEVs). Initially, the motor general construction, the basic working principle and the design concept of the proposed HEFSM are outlined. Then, the initial drive performances of the proposed HEFSM are evaluated based on 2D-FEA, in which the design restrictions, specifications and target performances are similar with conventional interior permanent magnet synchronous motor (IPMSM) used in HEV. Since the initial results fail to achieve the target performances, deterministic design optimization approach is used to treat several design parameters. After several cycles of optimization, the proposed motor makes it possible to obtain the target torque and power of 333 Nm and 123 kW, respectively. In addition, due to definite advantage of robust rotor structure of HEFSM, rotor mechanical stress prediction at maximum speed of 12,400 r/min is much lower than the mechanical stress in conventional IPMSM. Finally, the maximum torque and power density of the final design HEFSM are approximately 11.41 Nm/kg and 5.55 kW/kg, respectively, which is 19.98% and 58.12% more than the torque and power density in existing IPMSM for Lexus RX400h.

Dynamical analysis for hybrid virus infection system in switching environment

We investigate the dynamical behavior of hybrid virus infection systems with nonlytic immune response in switching environment, which is modeled as a stochastic process of telegraph noise and represented as a multi-state Markov chains. Firstly, The existence of unique positive solution and boundedness of the new hybrid system is proved. Furthermore, the sufficient conditions for extinction and persistence of virus are established. Finally, stochastic simulations are performed to test and demonstrate the conclusions. As a consequence, our work suggests that stochastic switching environment plays a crucial role in the process of virus prevention and treatment.

Transmission Mechanism Based on Burst Filling in Hybrid Optical Burst/Circuit Switching Networks

Hybrid optical switching networks make full use of the advantages of Optical Circuit Switching(OCS)and Optical Burst Switching(OBS).In parallel hybrid optical switching networks,edge nodes choose a switching mode for traffic and no longer change.The inflexible decision making of the traffic transfer mode leads to low resource utilization when the arrival rate of the OCS traffic is lower than the capacity of the light path.In this paper,a new transmission scheme is proposed to improve resource utilization for hybrid optical switching networks.When the traffic arrival rate of the light path is lower than the transmission rate of the light path,the OCS traffic flow is reshaped at the edge nodes to generate a series of voids.Then,several message packets are sent along the light path to inform the core nodes of the voids of the light paths that represent the unused bandwidth resources.To improve the resource utilization,the voids can be filled with data bursts by core nodes.The simulation results show that the new scheme can effectively reduce the burst loss rate and improve the link utilization of the hybrid optical switching network on the premise of a providing service quality guarantee for OCS traffic.

High-Performance Hybrid White Organic Light-Emitting Diodes Utilizing a Mixed Interlayer as the Universal Carrier Switch

A new interlayer is successfully used to be a universal carrier switch, developing high-performance hybrid white organic light-emitting diodes （WOLEDs）. By dint of this interlayer, the two-color hybrid WOLED shows a maximum total current efficiency （CE） and power efficiency （PE） of 48.1 cd/A and 37.6 Im/W, respectively, while the three-color hybrid WOLED shows a maximum total CE and PE of 33.8 cd/A and 25.7Im/W, respectively. The color rendering index of the three-color hybrid WOLEDs are ≥ 75, which is already a sufficient level for many commercial lighting applications. In addition, both the two-color and three-color hybrid WOLEDs show low efficiency roll-off and stable color. Furthermore, devices with the new interlayer show much higher performance than devices with the most commonly used 4,4-N,N-dicarbazolebiphenyl and N,N＇-di（naphthalene-l-yl）-N,N＇- diphenyl-benzidine interlayers.

Design and Implementation of Hybrid Light and Microwave Switches Based on Wavelength Selective Switch for Future Satellite Networks

A hybrid switching node structure with light and microwave links is proposed, which is applicable to the future data relay satellite systems, aiming at the development trend of coexistence of light- link and microwave-link in the future. An experimental system for the light and microwave hybrid switching node based on wavelength selective optical switches (WSS) and optical transceiver modules, is established. It is shown by our experiment that this hybrid switching node can realize the dynamic bandwidth allocation and wavelength routing while the bit error rate of light link is less than 10?12, which provides a method for solving the hybrid switching problem of light-link and microwave-link on the future data relay satellite systems.

Optimized Power Factor Correction for High Speed Switched Reluctance Motor

The Power Factor Correction(PFC)in Switched Reluctance(SR)motor is discussed in this article.The SR motors are applicable for multiple applications like electric vehicles,wind mills,machineries etc.The doubly salient structure of SR motor causes the occurrence of torque ripples,which affects the power factor of the motor.To improve the power quality,the power factor has to be corrected and the ripples have to be minimized.In order to achieve these objectives,a novel power factor correction(PFC)method is proposed in this work.Here,the conventional Diode Bridge Rectifier(DBR)is replaced by a Bridgeless Hybrid Resonant(HR)converter,which assists in improvising the output in a wider range.The converter is chosen because of having variety of beneficial measures including high gain.The converter’s output is fed to the SR motor by means of an asymmetric Bridge Resonant(BR)converter.The proposed converter operates in continuous mode of conduction with the switching frequency of 10 KHz.A hysteresis current controller and Proportional Integral(PI)controller are utilized for reducing the harmonics in the source current along with the regulation of output voltage.In addition,the speed control of SR motor is accomplished by means of the Whale Optimization Algorithm(WOA)assisted PI controller.The proposed methodology is effective for the control of unity power factor,torque and current ripples.The Total Harmonic Distortion(THD)of the source current is also minimized,which suits the standard of International Electrotechnical Comission IEC 61000-3-2.By this methodology,the power factor of 0.99 is achieved with 97%efficiency and 3.92%THD.The proposed methodology is validated in simulation by MATLAB and in hardware by FPGA Spartan 6E.

Hybrid gradient vector fields for path-following guidance

Guidance path-planning and following are two core technologies used for controlling un-manned aerial vehicles(UAVs)in both military and civilian applications.However,only a few approaches treat both the technologies simultaneously.In this study,an innovative hybrid gradient vector fields for path-following guidance(HGVFs-PFG)algorithm is proposed to control fixed-wing UAVs to follow a generated guidance path and oriented target curves in three-dimensional space,which can be any combination of straight lines,arcs,and helixes as motion primitives.The algorithm aids the creation of vector fields(VFs)for these motion primitives as well as the design of an effective switching strategy to ensure that only one VF is activated at any time to ensure that the complex paths are followed completely.The strategies designed in earlier studies have flaws that prevent the UAV from following arcs that make its turning angle too large.The proposed switching strategy solves this problem by introducing the concept of the virtual way-points.Finally,the performance of the HGVFs-PFG algorithm is verified using a reducedorder autopilot and four representative simulation scenarios.The simulation considers the constraints of the aircraft,and its results indicate that the algorithm performs well in following both lateral and longitudinal control,particularly for curved paths.In general,the proposed technical method is practical and competitive.

具有混合控制策略的宽输出双全桥LLC谐振变换器

针对宽输出电压范围应用中传统频率控制的LLC型谐振变换器存在开关频率调节范围宽、循环电流大及难实现高效运行等问题,提出1种具有定频移相-定频PWM混合控制策略的双全桥LLC型谐振变换器,以适用于较宽输出电压范围。其由2个全桥LLC型谐振变换器共用1个桥臂组合而成,输出电压通过定频移相-定频PWM混合控制进行调节,使该谐振变换器实现4倍电压增益范围以获得较宽输出电压,同时解决传统频率控制中循环电流过大及在移相控制移相角小时的软开关不能实现问题,提升系统效率。该转换器开关频率工作在谐振频率点,电压增益与负载无关且有助于磁性元件设计,在全负载范围内实现软开关。最后给出详细的电路工作原理分析并通过仿真进行验证,搭建实验平台验证了所提变换器的可行性和有效性。

基于混合模型的道岔综合监测系统研究

道岔作为关键的铁路信号设备,也是铁路线路三大薄弱环节之一,其工作质量直接影响列车的运行安全。传统的道岔检测方法过分依赖人工经验,检测效率低下,难以应对现有铁路运行中行车速度快、发车密度高等对道岔维护所带来的严峻挑战,并且现有道岔监测也存在监测项目不全面等问题。为满足工电融合需要,开发了一套基于混合模型的道岔综合监测系统,使用卷积神经网络自动进行特征提取,以获取道岔状态,充分发挥深度学习的自动特征提取优势;采用支持向量机和向量域的混合算法,对正常/故障数据进行分类和异常检测,从而提高故障检测的准确率。测试结果表明:与现有人工巡检方法相比,该系统能够为相关人员提供精准、实时的道岔故障预警,提高维护效率,有效减少人力成本且降低道岔病害的发生概率。

基于热网络分区等效策略的Si/SiC混合器件耦合热参数辨识方法

由硅(Si)绝缘栅双极型晶体管(IGBT)与碳化硅(SiC)金属氧化物半导体场效应晶体管(MOSFET)并联构成的混合器件可打破单一Si基器件和SiC基器件的局限性,实现损耗和成本间的有效均衡。结温估计对于Si/SiC混合器件的可靠运行至关重要,然而,目前针对热监测的研究往往需满足热稳态平衡和功率损耗可测两大条件,在实际变流器中实用性较低。基于此,该文以零输入响应法为切入点,首先,对Si/SiC混合器件热结构特性进行分析,详细阐述零输入响应法直接应用于混合器件时所带来的高阶热约束条件难以表征的问题;其次,通过对SiIGBT与SiC MOSFET进行热网络分区处理实现模型的降阶,构建出壳温降温曲线时间常数与热参数之间的约束关系,提出了基于热网络分区等效思想的混合器件耦合热参数辨识方法,所提方法简化了功率损耗测量步骤与热平衡态条件,在并联器件耦合热参数辨识研究中具有简单、通用、流程化高的应用优势;最后,通过实验验证了该文所提方法的准确性和有效性。

考虑驱动电压与开关时序协同调控的Si/SiC混合器件开关策略

硅基(Si)绝缘栅双极晶体管(insulated gate bipolar transistor,IGBT)和碳化硅基(SiC)金属氧化物半导体场效应晶体管(metal oxide semiconductor field effect transistor,MOSFET)并联组成的Si/SiC混合器件,已被证实具有SiC MOSFET的高开关频率、低开关损耗特性和Si IGBT的大载流能力、低成本的优势。然而,目前Si/SiC混合器件性能提升的研究并未兼顾效率和可靠性,且存在调控手段单一的劣势。基于此,该文详细分析不同负载电流下驱动电压、开关时序等调控参数对Si/SiC混合器件损耗和电应力的影响,提出一种考虑驱动电压与开关时序协同调控的Si/SiC混合器件开关策略。所提开关策略通过不同电流区间采用驱动电压与开关时序相配合的方式,在保障Si/SiC混合器件可靠性的前提下,提高其运行效率。该文搭建双脉冲测试实验平台与稳态参数测量实验平台对所提开关策略进行验证。实验结果表明,相较于传统开关策略,Si/SiC混合器件采用本文所提开关策略在开通损耗、关断损耗以及导通损耗方面分别减少13%、21%和32%。

一种无桥高增益单级LED驱动电路及其混合控制策略

中小功率的LED驱动电源中,传统两级LED驱动电源存在体积大、成本高以及传统Boost PFC电路在低压输入时导通损耗大等问题。为此提出一种由无桥二次型Boost PFC电路和DC-DC LLC电路集成的无桥高增益单级LED驱动电路,实现了高电压增益、功率开关器件软开关、一套控制电路和高电路转换效率。针对单级电路在电网输入电压变化引起直流母线电压变动范围大等问题,设计一种适用于所提电路的APWM-PFM混合控制策略,并对混合控制原理和控制过程进行详细分析。最后设计一台200 W的实验样机,在输入电压80~120 Vrms范围内,占空比最大为0.5,最大电压增益为6.7,直流母线电压基于网侧特性和LLC电路特性设计在700 V以内,样机的功率因数值均高于0.990,THD均低于15%。在满载条件下,110 Vrms输入时,样机效率为93.20%,相比于传统无桥PFC,电压增益提高了2.21倍,实现了高电压增益和软开关,有效提升了在低压输入条件下的电路转换效率。仿真和实验结果验证了所提出电路和控制方法的有效性。

OWC/RF混合通信系统研究进展

无线光/射频混合通信系统克服了单一通信系统的局限性,在最大发挥无线光通信优势的同时弥补了射频通信的不足,显著提高了链路的可用性和可靠性,为未来高速大容量的信息传输提供了独特的解决方案。对近年来无线光/射频混合通信系统的研究进展进行了综述,首先介绍了不同混合通信系统模型的工作原理与应用,然后讨论了混合通信系统所面临的挑战和解决方法,最后展望了无线光/射频混合通信系统的未来发展趋势,旨在为无线光/射频混合通信系统的进一步研究和发展奠定基础。