Faculty

Institution

Unit

Venue

Pingfeng Wang

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Pingfeng Wang is currently serving as an Industrial And Enterprise Systems Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Pingfeng Wang

UIUC

Professor

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systems engineering reliability engineering system safety engineering reliability data science design optimization engineering optimization uncertainty quantification reliability prediction reliability modelling energy storage system reliability uncertainty analysis machine learning systems modeling energy storage materials statistics bayesian analysis machine learning research lithium-ion batteries failure prediction battery configuration resilience reliability physics resilience engineering predictive maintenance health management advanced energy material statistical methodology life cycle assessment fault forecasting reliability analysis electric battery resilience analysis fault diagnosis dynamic reliability surrogate model system science structural safety condition monitoring life prediction energy research multidisciplinary optimization physic aware machine learning gaussian process design automation uncertainty modeling sensor health service life prediction metal anode intelligent diagnostics computational optimization surrogate models prognosis prognostic evaluation sensor optimization automatic fault detection system reliability analysis diagnostic systems supply chain resilience material modeling uncertainty management bayesian network engineering resilience geometric tolerances extreme value resilience quantification ners approach bayesian reliability failure diagnosis eigenvector dimension reduction physics-informed machine battery state bayesian reliability analysis complementary intersection method technology design digital manufacturing sustainable manufacturing eco-innovation sustainability science sustainable development data analytics sustainable design management engineering human systems engineering

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Design for Remanufacturing Framework Incorporating Identification, Evaluation, and Validation: A Case Study of Hydraulic Manifold. Journal of Mechanical Design (2025)

Xinyang LiuIn-Bum ChungMohammad BehtashMatthew DaviedTodd ThompsonRichard LopezMichael LeeWilliam BishopPingfeng WangChao Hu

sustainable productssustainable productiondfrem guidelinessustainable manufacturingproduct designhydraulic manifoldmanufacturing systemsmaterial flow analysissustainable developmentlife cycle assessmentsustainability scienceindustrial engineeringproduction engineeringindustrial designlife-cycle engineeringdesignsystems engineeringhydraulic manifold designsustainability assessmentsustainable design

A Reliability-Based and Stochastic Optimization for Balancing Capacity and Uncertainties in a Roof-Mounted Photovoltaic (Pv) System. (2025)

Zilong ZhaoGuoquan LvYanwen XuPingfeng Wang

energy systemsdesign optimizationstochastic optimizationsolar powerreliability engineeringphotovoltaic power stationroof-mounted photovoltaicrooftop photovoltaicscomputer engineeringsystems engineeringphotovoltaic systemsphotovoltaicsenergy optimizationpower system optimizationengineering optimizationbalancing capacitysmart grid

Curvature-Dependent Electrochemo-Mechanics of Silicon During Electrochemical Cycling. ACS Energy Letters (2025)

Hyewon JeongZhuoyuan ZhengParth BansalNathan J. FritzPeilin LuArghya PatraBeniamin ZahiriPingfeng WangPaul V. Braun

electrochemistryelectrochemical interfaceselectroanalytical chemistryelectrochemical cyclingfundamental electrochemistryapplied physicssurface scienceelectrochemical engineering

Dataset on Complex Power Systems: Design for Resilient Transmission Networks Using a Generative Model. Journal of Mechanical Design (2025)

In-Bum ChungPingfeng Wang

machine learningdata sciencepower system restorationmachine learning researchnetwork analysiscomputational intelligenceelectrical gridsnetworked system designgenerative modelspower system networksreliability engineeringgenerative systemsintelligent computingpower networksenergy networkscyber-physical systemscomplex power systemssystems engineeringelectric power systemssmart grid

Integrating Heat Transfer and Control Optimization: A Comprehensive Review of Battery Thermal Management Systems. Journal of Energy Storage (2025)

Pouya KabirzadehZheng LiuMostafa OlyaeiHaoyun QiuYashraj GurumukhiHarsh TyagiYuan JiangVivek S. GarimellaBakhshish Preet SinghYumeng LiPingfeng WangNenad Miljkovic

energy storage systemsenergy systemsenergy institutecomprehensive reviewengineeringcontrol optimizationheat transferenergy storagesystems engineeringthermal energy storagethermal engineeringthermal managementbattery configurationenergy management

Life Cycle Assessment of Direct Recycling for Cathode Active Materials. (2025)

Zheng LiuKai-Wei LanJarom G. SederholmPaul V. BraunNicola H. PerryYumeng LiPingfeng Wang

sustainable productslife-cycle engineeringenvironmental engineeringchemical engineeringwaste managementrecycling technologiesclean technologyrecyclingmaterial cycleslife cycle assessment

On-Board Soh Estimation Using Quantized Adaptive Dual Extended Kalman Filter in Resource Constraint Battery Management Systems. 2022 Annual Reliability and Maintainability Symposium (RAMS) (2025)

Lakshmi ManojPingfeng Wang

control systemscontrol optimizationcomputer engineeringsystems engineeringsignal processingadaptive filterstate observerbattery configurationstate estimationautomatic controlenergy management

Partial Discharge Diagnosis in Electric Motor With Digital Twin Model-Enhanced Ensemble Learning. Reliability Engineering & System Safety (2025)

Sara KohtzAnabel RenteriaAaron RodriguezAnand LalwaniAnjana SamarakoonKiruba Sivasubramaniam HaranDebbie SeneskyPingfeng Wang

condition monitoringfault detectionelectric motorensemble algorithmsmachine learningfault diagnosisdata sciencediagnosispartial discharge diagnosisneural network (machine learning)electrical engineering

Physics-Informed Machine Learning Enhanced Battery Pack Optimization. (2025)

Zheng LiuYuan JiangYumeng LiPingfeng Wang

energy researchenergy storageenergy storage materialsbattery configurationenergy optimizationmachine learning researchengineering optimizationelectrical engineeringenergy management

Physics-Informed Machine Learning for Battery Pack Thermal Management. 2022 Annual Reliability and Maintainability Symposium (RAMS) (2025)

Zheng LiuYuan JiangYumeng LiPingfeng Wang

engineeringenergy predictionenergy storagephysic aware machine learningenergy efficiencythermal engineeringmachine learning researchphysics-informed machine learningbattery configurationenergy management

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Pingfeng Wang

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Pingfeng Wang is currently serving as an Industrial And Enterprise Systems Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pingfeng Wang

UIUC

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Design for Remanufacturing Framework Incorporating Identification, Evaluation, and Validation: A Case Study of Hydraulic Manifold. Journal of Mechanical Design (2025)

Xinyang LiuIn-Bum ChungMohammad BehtashMatthew DaviedTodd ThompsonRichard LopezMichael LeeWilliam BishopPingfeng WangChao Hu

A Reliability-Based and Stochastic Optimization for Balancing Capacity and Uncertainties in a Roof-Mounted Photovoltaic (Pv) System. (2025)

Zilong ZhaoGuoquan LvYanwen XuPingfeng Wang

Curvature-Dependent Electrochemo-Mechanics of Silicon During Electrochemical Cycling. ACS Energy Letters (2025)

Hyewon JeongZhuoyuan ZhengParth BansalNathan J. FritzPeilin LuArghya PatraBeniamin ZahiriPingfeng WangPaul V. Braun

electrochemistryelectrochemical interfaceselectroanalytical chemistryelectrochemical cyclingfundamental electrochemistryapplied physicssurface scienceelectrochemical engineering

Dataset on Complex Power Systems: Design for Resilient Transmission Networks Using a Generative Model. Journal of Mechanical Design (2025)

In-Bum ChungPingfeng Wang

Integrating Heat Transfer and Control Optimization: A Comprehensive Review of Battery Thermal Management Systems. Journal of Energy Storage (2025)

Pouya KabirzadehZheng LiuMostafa OlyaeiHaoyun QiuYashraj GurumukhiHarsh TyagiYuan JiangVivek S. GarimellaBakhshish Preet SinghYumeng LiPingfeng WangNenad Miljkovic

Life Cycle Assessment of Direct Recycling for Cathode Active Materials. (2025)

Zheng LiuKai-Wei LanJarom G. SederholmPaul V. BraunNicola H. PerryYumeng LiPingfeng Wang

sustainable productslife-cycle engineeringenvironmental engineeringchemical engineeringwaste managementrecycling technologiesclean technologyrecyclingmaterial cycleslife cycle assessment

On-Board Soh Estimation Using Quantized Adaptive Dual Extended Kalman Filter in Resource Constraint Battery Management Systems. 2022 Annual Reliability and Maintainability Symposium (RAMS) (2025)

Lakshmi ManojPingfeng Wang

control systemscontrol optimizationcomputer engineeringsystems engineeringsignal processingadaptive filterstate observerbattery configurationstate estimationautomatic controlenergy management

Partial Discharge Diagnosis in Electric Motor With Digital Twin Model-Enhanced Ensemble Learning. Reliability Engineering & System Safety (2025)

Sara KohtzAnabel RenteriaAaron RodriguezAnand LalwaniAnjana SamarakoonKiruba Sivasubramaniam HaranDebbie SeneskyPingfeng Wang

Physics-Informed Machine Learning Enhanced Battery Pack Optimization. (2025)

Zheng LiuYuan JiangYumeng LiPingfeng Wang

energy researchenergy storageenergy storage materialsbattery configurationenergy optimizationmachine learning researchengineering optimizationelectrical engineeringenergy management

Physics-Informed Machine Learning for Battery Pack Thermal Management. 2022 Annual Reliability and Maintainability Symposium (RAMS) (2025)

Zheng LiuYuan JiangYumeng LiPingfeng Wang

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