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A Hybrid Data-Driven and Model-based Method for Modeling and Parameter Identification of Lithium-Ion Batteries 基于数据驱动和模型的锂离子电池建模与参数辨识混合方法
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9942207
Bin Gou, Yan Xu, X. Feng
An accurate and practical model of lithium-ion batteries (LIBs) is necessary for state and health monitoring and battery energy management. This paper proposes a hybrid method for dynamic modeling and parameter identification for LIBs. A fractional-order model (FOM) with free derivative orders is proposed to accurately describe electrochemical dynamic behaviors of the LIBs. Two constant phase elements (CPE) and a Warburg component are used to describe the impedance characteristics of the LIBs. Then, an ensemble learning structure based on random forests (RF) is designed to accurately extract the mapping relationship between the open circuit voltage (OCV) and state of charge (SOC) at different temperatures. Based on the dynamic stress test (DST) dataset, particle swarm optimization (PSO) algorithm is used to optimally identify the parameters of model by comprehensively considering the identification accuracy and efficiency. Finally, the accuracy and robustness of the proposed FOM are verified and compared at different temperatures using the highly dynamic US06 highway driving schedule and the federal urban driving schedule (FUDS) test data. Compared with the second-order model with curve fitting methods, the proposed method has an overall higher accuracy and robustness at all temperatures and works well for low and high SOC ranges.
一个准确实用的锂离子电池模型对于锂离子电池的状态和健康监测以及电池能量管理是必要的。本文提出了一种混合的lib动态建模和参数辨识方法。提出了一种具有自由导数阶数的分数阶模型(FOM)来准确描述锂离子电池的电化学动力学行为。两个恒相元件(CPE)和一个Warburg元件被用来描述lib的阻抗特性。然后,设计了一种基于随机森林(RF)的集成学习结构,以准确提取不同温度下开路电压(OCV)和荷电状态(SOC)之间的映射关系。基于动态应力测试(DST)数据集,综合考虑识别精度和效率,采用粒子群优化算法(PSO)对模型参数进行最优识别。最后,利用高动态US06公路行驶计划和联邦城市行驶计划(FUDS)测试数据,验证了所提FOM在不同温度下的准确性和鲁棒性。与二阶模型曲线拟合方法相比,该方法在所有温度下都具有更高的精度和鲁棒性,并且在低SOC和高SOC范围内都能很好地工作。
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引用次数: 0
Hybrid Four-segment-mode Model Predictive Control for Open-winding PMSM Drives with Zero Sequence Current Suppression and Fixed Switching Frequency 零序电流抑制固定开关频率开绕组永磁同步电机混合四段模式模型预测控制
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941819
Xiaoguang Zhang, Han Zhang, Kang Yan
This paper proposes a hybrid four-segment-mode model predictive control (MPC) strategy. Inverter1 (INV1) adopts the fast voltage vector (VV) selection method to select one non-zero active VV in each control period, and then a proposed four-segment-mode control strategy is applied to inverter2 (INV2). In this strategy, the zero VVs $u^{prime}7$ and $u^{prime}0$ are alternated at the beginning and end of each period, and two active VVs are applied to the middle of the control period with minimal switching action, and a fixed switching frequency of half the control frequency can be achieved in INV2. Furthermore, an optimized duration allocation is applied to the two zero VVs to suppress the zero sequence current (ZSC) of control system according to the principle of 0-axis current deadbeat control.
提出了一种混合四段模式模型预测控制(MPC)策略。逆变器1 (INV1)采用快速电压矢量(VV)选择方法,在每个控制周期内选择一个非零有源VV,然后将所提出的四段模式控制策略应用于逆变器2 (INV2)。在该策略中,零vv $u^{prime}7$和$u^{prime}0$在每个周期的开始和结束时交替,两个有源vv以最小的开关动作应用于控制周期的中间,在INV2中可以实现固定开关频率为控制频率的一半。在此基础上,根据0轴电流无差拍控制原理,对两个零电压进行优化的持续时间分配,抑制控制系统的零序电流(ZSC)。
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引用次数: 0
Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Fed PMSM Drives with Model Predictive Control 基于模型预测控制的三电平ANPC逆变器馈动永磁同步电机开路故障诊断
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941749
Guohua Li, Shuai Xu, Chunxing Yao, Guanzhou Ren, G. Ma
This paper proposes an open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter based on model predictive control (MPC). In this method, the predictive current model is used to predict and estimate phase current under normal and faulty conditions. The OC fault can be detected by comparing the residual between estimated phase current and measured phase current with the threshold. The detected fault is further localized through a fault localization matrix, every element of the matrix corresponds to a switch in 3L-ANPC inverter. The matrix is updated by the compared results between actual measured phase current and the estimated phase current considering the possible switch OC faults. The utilized phase current signals are also necessary in the MPC algorithm, so the proposed fault diagnosis method does not require any additional sensors. Moreover, the fast dynamic characteristic is derived from the MPC. Simulation results are obtained from a 3L-ANPC inverter fed permanent magnet synchronous motor (PMSM) drives, verifying the effectiveness of the proposed diagnosis method.
提出一种基于模型预测控制(MPC)的三电平有源中性点箝位(3L-ANPC)逆变器开路故障诊断方法。该方法采用预测电流模型对正常和故障情况下的相电流进行预测和估计。通过将估计相电流与实测相电流的残差与阈值进行比较,可以检测出OC故障。通过故障定位矩阵对检测到的故障进行进一步的定位,矩阵的每一个元素对应3L-ANPC逆变器中的一个开关。将实际测量的相电流与考虑可能的开关OC故障的估计相电流进行比较,更新矩阵。在MPC算法中,利用的相电流信号也是必须的,因此所提出的故障诊断方法不需要额外的传感器。此外,MPC还具有快速动态特性。以3L-ANPC逆变器驱动的永磁同步电机(PMSM)为例进行了仿真,验证了所提诊断方法的有效性。
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引用次数: 0
An Online Monitoring Method for IGBT Modules in Single-Phase Three-Level Neutral Point Clamped Inverters 单相三电平中性点箝位逆变器中IGBT模块的在线监测方法
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941994
Zhaoxiang Chen, Mingyao Ma, Ning Wang
Online monitoring of insulated gate bipolar transistor (IGBT) modules is an effective way to improve the reliability of inverters. This paper proposes a method for online monitoring of IGBT’s bond wires in single-phase three-level neutral point clamped inverters. The proposed method has a negligible impact on the output current of the inverter, the key of which is to clamp one leg of the inverter to the O state by zero-sequence component injection at the monitoring time. Based on this method, we can create an online monitoring environment to inject monitoring current into the idle IGBT. By sampling the collector-emitter saturation voltage during monitoring, the health state of the IGBT can be obtained. Calculations and simulations show that clamping duration is more significant than the one required for single monitoring, even under the worst conditions.
对绝缘栅双极晶体管(IGBT)模块进行在线监测是提高逆变器可靠性的有效途径。提出了一种对单相三电平中性点箝位逆变器中IGBT键合线进行在线监测的方法。所提出的方法对逆变器输出电流的影响可以忽略不计,其关键是在监测时通过零序分量注入将逆变器的一支路钳位到O状态。基于这种方法,我们可以创建一个在线监测环境,为空闲的IGBT注入监测电流。通过对监测过程中集电极-发射极饱和电压的采样,可以得到IGBT的健康状态。计算和仿真表明,即使在最恶劣的条件下,夹紧时间也比单次监测所需的时间更重要。
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引用次数: 0
An Improved Control Strategy of PM-Assisted Synchronous Reluctance Machines Based on an Extended State Observer 基于扩展状态观测器的永磁辅助同步磁阻电机改进控制策略
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941931
Dongyang Li, Chunyang Gu, Shuo Wang, He Zhang, C. Gerada, R. Camilleri, Yue Zhang
PM-Assisted synchronous reluctance machines (PMSynRM) show large speed fluctuations and poor dynamic response when encountering a large disturbance. Additionally, the PI controller is not capable of eliminating steady-state errors when disturbances are encountered. An extended state observer (ESO) based control method is proposed in this paper to resolve these problems. Thanks to the proposed control strategy, the ESO can detect and provide feedback to the controller in a short period of time, which allows it to respond in a timely manner. Speed Control accuracy is increased, and response time is reduced simultaneously as a result. Meanwhile, stability analysis is implemented to determine the stability condition of the observer, so that optimized observer parameters could be obtained. The ESO-based control strategy is effective at reducing dynamic response time and increasing control accuracy, according to simulations.
永磁辅助同步磁阻电机(PMSynRM)在遇到较大扰动时,速度波动大,动态响应差。此外,当遇到干扰时,PI控制器不能消除稳态误差。本文提出了一种基于扩展状态观测器(ESO)的控制方法来解决这些问题。由于所提出的控制策略,ESO可以在短时间内检测并向控制器提供反馈,从而使控制器能够及时响应。提高了速度控制精度,同时减少了响应时间。同时,对观测器进行稳定性分析,确定观测器的稳定性条件,从而得到最优观测器参数。仿真结果表明,该控制策略能够有效地缩短动态响应时间,提高控制精度。
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引用次数: 0
Comparison and evaluation of the thermal performance between SiC-MOSFET and Si-IGBT SiC-MOSFET与Si-IGBT热性能的比较与评价
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941944
Cheng Tang, Qianming Xu, Rong Han, Peng Guo, R. Liu, Zhuo Qing
The power modules become one of the most fragile and vulnerable components. To address this problem, the thermal performance of silicon carbide metal-oxide-semiconductor field-effect transistor (SiC-MOSFET) and silicon insulated gate bipolar transistor (Si-IGBT) is compared and evaluated in this paper. Firstly, the loss calculations and distribution of SiC-MOSFET and Si-IGBT are analyzed. Next, the junction temperature swing of SiC-MOSFET and Si-IGBT is calculated by the thermal resistance network method, and the analysis of the junction temperature swing at different influencing factors is elaborated. Then, a thermal platform based on optical fiber thermometer is built and experimental results are provided to validate the claims. Finally, the thermal properties of SiC-MOSFET and Si-IGBT are summarized to provide the theoretical reference for engineering applications.
电源模块成为最脆弱、最易损坏的部件之一。为了解决这一问题,本文对碳化硅金属氧化物半导体场效应晶体管(SiC-MOSFET)和硅绝缘栅双极晶体管(Si-IGBT)的热性能进行了比较和评价。首先,分析了SiC-MOSFET和Si-IGBT的损耗计算和分布。其次,采用热阻网络法计算了SiC-MOSFET和Si-IGBT的结温摆动,并对不同影响因素下的结温摆动进行了分析。在此基础上,搭建了基于光纤测温仪的热平台,并给出了实验结果。最后总结了SiC-MOSFET和Si-IGBT的热性能,为工程应用提供理论参考。
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引用次数: 0
An improved Kriging surrogate model method with high robustness for electrical machine optimization 一种改进的高鲁棒性Kriging代理模型方法用于电机优化
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9942076
Junli Zhang, W. Hua, Yuan Gao, Yuchen Wang, Hengliang Zhang
The uncertainties of electrical machines manufacturing decrease the prediction precision of traditional multi-objective optimization methods based on Kriging surrogate model. Existing robust optimization method requires a large amount of calculation time. In order to improve the accurateness and release the computational burden of the Kriging surrogate model method in the robust optimization, two genetic algorithm (GA)-based optimization methods with different sample principles are proposed and compared. The one is adding the final optimization result of GA as the samples into the surrogate model, while the other one is adding the samples from the GA process for the target surrogate model. Taking a 12-slot 14-pole interior permanent magnet (IPM) machine as a case study, the simulation results show that the latter one is more accurate than the former. Furthermore, the comparison between the deterministic optimization and robust optimization in the case study demonstrates the superior of the second GA method.
电机制造过程的不确定性降低了传统的基于Kriging代理模型的多目标优化方法的预测精度。现有的鲁棒优化方法需要大量的计算时间。为了提高Kriging代理模型方法在鲁棒优化中的准确性和减轻计算量,提出了两种基于遗传算法的不同样本原理的优化方法,并对其进行了比较。一种是将遗传算法的最终优化结果作为样本添加到代理模型中,另一种是将遗传算法过程中的样本添加到目标代理模型中。以12槽14极内永磁体(IPM)为例,仿真结果表明,后者比前者更精确。通过实例分析,对比了确定性优化和鲁棒优化,验证了第二种遗传算法的优越性。
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引用次数: 0
Motor Bearing Fault Diagnosis based on Hilbert-Huang transform and Convolutional Neural Networks 基于Hilbert-Huang变换和卷积神经网络的电机轴承故障诊断
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941910
D. Du, Jian Zhang, Youtong Fang, Jie Tian
Motor Bearing vibration signal contains its operating state information and can be used for bearing fault diagnosis. Facing the nonlinear and non-stationary signal of bearing vibration, the accuracy of existing methods still needs to be improved. In this paper, Hilbert-Huang transform is proposed to process these signals and obtain the time frequency spectrums. Then Convolutional neural network is applied to diagnose bearing faults for its perfect ability of image recognition. Comparing with other signal processing methods, this method achieves better accuracy.
电机轴承振动信号包含了其运行状态信息,可用于轴承故障诊断。面对轴承振动的非线性和非平稳信号,现有方法的精度仍有待提高。本文提出利用Hilbert-Huang变换对这些信号进行处理,得到信号的时频频谱。利用卷积神经网络良好的图像识别能力,将其应用于轴承故障诊断。与其他信号处理方法相比,该方法具有更好的精度。
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引用次数: 0
An Improved Rotor Position Estimation Method for PMSM Using Low-Resolution Hall-Effect Sensors 基于低分辨率霍尔效应传感器的永磁同步电机转子位置估计改进方法
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941900
Xiaofeng Xu, Xiaoyan Huang, Zhaokai Li
Extensive research has shown that the control technique of permanent magnet synchronous motors (PMSMs) is relatively mature using high precision position sensors with the penalty of high hardware cost. On the other hand, the sensorless control has demonstrated many advantages, but its application with heavy loading is limited. In this paper, a rotor position correction method using low-resolution Hall-effect sensors is proposed, which shows the advantage of low cost and high estimation precision. The exact discrete-time voltage equation model is utilized to obtain accurate speed information, and a speed estimation observer with average speed calculated using Hall signal is adopted to make rotor position converge to exact location. Simulation verifies the effectiveness of the method including the steady and dynamic performance.
大量研究表明,采用高精度位置传感器的永磁同步电机控制技术相对成熟,但硬件成本较高。另一方面,无传感器控制显示出许多优点,但其在大负载下的应用受到限制。提出了一种利用低分辨率霍尔效应传感器进行转子位置校正的方法,该方法具有成本低、估计精度高的优点。采用精确离散电压方程模型获得准确的转速信息,采用霍尔信号计算平均转速的转速估计观测器使转子位置收敛到精确位置。仿真结果验证了该方法的有效性,包括稳态性能和动态性能。
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引用次数: 0
Power Decoupling Control of Permanent Magnet Generating System 永磁发电系统功率解耦控制
Q4 AREA STUDIES Pub Date : 2022-10-28 DOI: 10.1109/ITECAsia-Pacific56316.2022.9941813
Qingling Luo, Xuanlyu Wu, Bei Wang, Jingru Yang, Xiaohua Wu
Permanent Magnet (PM) Machine based S/G system has huge advantages in terms of efficiency, power density, power-weight ratio, power quality and EMI. With the development in PM machine design and power electronics technology, PMS/G system is gaining more attention not only in low-power subsystems, but also in primary high-power systems. When the PM machine has salient pole rotor or the internal resistance is not negligible or both, there is obvious coupling between d-axis current and output power. However, in conventional control approach, the effect of d-axis current on output power is not compensated for in the q-axis current, which leads to unsatisfied control performance. This paper proposed a power decoupling control approach for PMS/G system in generating mode. The power coupling effect is mitigated which delivers improved control performance. Moreover, the output signal of voltage controller can always accurately reflect output power, which can be utilized for instantaneous power control and monitoring. The proposed approach is verified both by simulation and experiment.
基于永磁电机的S/G系统在效率、功率密度、功率重量比、电能质量和电磁干扰等方面具有巨大的优势。随着永磁机械设计和电力电子技术的发展,PMS/G系统不仅在低功率子系统中得到越来越多的关注,而且在初级大功率系统中也得到越来越多的关注。当永磁电机具有凸极转子或内阻不可忽略或两者兼而有之时,d轴电流与输出功率之间存在明显的耦合。然而,在传统的控制方法中,d轴电流对输出功率的影响没有在q轴电流中得到补偿,导致控制性能不理想。提出了一种发电模式下PMS/G系统的功率解耦控制方法。减轻了功率耦合效应,提高了控制性能。此外,电压控制器的输出信号始终能准确反映输出功率,可用于瞬时功率控制和监测。仿真和实验验证了该方法的有效性。
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引用次数: 0
期刊
Asia-Pacific Journal-Japan Focus
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