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DC25_SLIDES_Track10_ParameterExtractionMethodfor_Zhang.pdf

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1、Information Classification:GeneralWelcome to ConferenceJanuary 2830,2025Santa Clara Convention Center1ExpoJanuary 2930,2025 Information Classification:GeneralA Parameter Extraction Method for Multi-phase Buck Converters Based on Nonlinear Least Square MethodHanyu Zhang,(Missouri University of Scienc

2、e&Technology)Junho Joo(Missouri University of Science&Technology)Zhigang Liang(Google LLC),Lihui Cao(Google LLC)Jan Rentmeister(Google LLC),Hanfeng Wang(Google LLC)Chulsoon Hwang(Missouri University of Science&Technology)2Information Classification:GeneralImageSPEAKERSHanyu ZhangPh.D.candidate,Misso

3、uri University of Science&Technologyhzc5zmst.edu|emclab.mst.eduHanyu Zhang received E.E.and M.S degrees in electrical engineering from the Southwest University of Science and Technology(Mianyang,China)in 2017 and 2020,respectively.He is currently working towards a Ph.D.degree in electrical engineeri

4、ng at the Electromagnetic Compatibility Laboratory at the Missouri University of Science and Technology(Missouri,USA).His research interests include electromagnetic interference,power electronics and power integrity.3Information Classification:General Introduction:PDN and VRM Modeling Unknown Parame

5、ters Extractiono Parameters in a VRM modelo PWM-related parameters extractiono PFM-related parameters extraction Implementation and Validation ConclusionOutline4Information Classification:General VRM plays an important role in the power integrity(PI)analysis.o Especially the low-frequency range.Accu

6、rate VRM simulation model is essential for reliable PI simulation.Introduction:VRM and Power Integrity5VRM offVRM onVRMPackage&dieDecouplingcapacitorsBulk capacitorsPowerGNDInformation Classification:General Multi-phase Buck converter is widely used nowadays.It selects the best operation mode based

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1. **研究目的**:提出一种基于非线性最小二乘法(LSQ)的多相Buck转换器(VRM)参数自动提取方法,以实现精准的电源完整性(PI)仿真。 2. **核心方法**: - **PWM参数**:通过阶跃负载电流激励,以输出电压波形为参考,利用LSQ优化SPICE仿真参数。 - **PFM参数**:在恒定负载下,提取输出电压峰值、谷值和上升斜率等关键特征进行优化。 3. **验证结果**: - 在3相VRM实验板上,20分钟内成功提取未知参数(如单相PWM增益\(K_P=5.693\),PFM阈值\(V_{th-PFM}=1.0037V\)),仿真与测量波形高度匹配。 - 成功将加密的LTC3309A LTspice模型转换为平均模型,仿真速度提升9倍(2.01秒 vs 19.21秒)。 4. **意义**:简化VRM建模流程,兼容PI仿真工具(如ADS、HSPICE),提升低频PI分析可靠性。
**VRM参数提取法** **非线性最小二乘应用** **多相转换器建模**
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