2022 HBK Technology Days

Virtual Seminar Series


Join us November 8, 15, and 22, 2022 for leading academic and industry technology presentations for:


  • testing, characterising and modelling for electric vehicle battery and powertrain
  • sensors and data analytics for structural health monitoring
  • reliability engineering for electrical systems and fault tree analysis


This is a free to attend series of 90 minute virtual seminars focused on different industry requirements and applications of measurement and modelling for their performance and reliability. Industries include civil structures, automotive and aerospace, with applications from bridges to batteries to landing gear.

Event Details


Session times

Each day of the virtual event is comprised of two 1.5-hour sessions. Below are the start times of the two sessions:


London: 10 AM & 3 PM

Paris / Berlin: 11 AM & 4 PM

Detroit: 6 AM & 11 AM

San Francisco: 3 AM & 7 AM

Singapore: 6 PM & 11 PM

Mumbai: 3:30 PM & 7:30 PM 



Webex (links will be provided via email)



This Virtual Seminar Series is free to attend. Please click the links for each session that you would like to attend, and you will be directed to a Webex registration page.

Presenting organizations include: 

  • Cranfield University
  • University of Sheffield
  • HBK Fiber Sensing
  • Jaguar Land Rover
  • Queen’s University Belfast
  • HBK - nCode and ReliaSoft

Tuesday November 8 - Electric Vehicle battery Modelling and Powertrain Testing

Session 1: Electrics Vehicle Battery Characterisation, Modelling and Simulation




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Understanding and characterising battery performance is critical for electric vehicle development. This learning is established from multiple sources including laboratory testing, real-world vehicle fleets, physics and chemistry simulation models, and statistical and machine learning models.


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Capture Lithium-ion Battery Cell Key Characteristics By Cell Testing & Validation

Dr. Patrick (Peng) Xiao, Jaguar Land Rover | Lead Engineer – Battery cell chemistry

 As the evolution of the cell is moving fast forward with advanced chemistry, formats, capturing the key characteristics of the cell’s performance becomes critical to cell integration into the Pack. Those key characteristics include cell’s fundamental performance such as capacity, DCIR, cycle life & storage life as well thermal properties, safeties under extreme use conditions or abuse conditions. A suite of characterization is introduced how Jaguar Land Rover cell team are capturing those key characteristics as the cell testing & validation methods. Those key characteristics are providing a full spectrum of the information of cells’ interfaces in the Pack.

Measuring capacity fading due to charge/discharge cycles using force transducers

Mr. Thomas Kleckers, HBK | Product and Application Manager, Force Transducers

Electric cars play an important role in decarbonization strategy of many countries. The technology has been improved in the last years, but besides the range of the car, the time required to charge an electric vehicle is also important as shorter charge stops would make them much more attractive to a wider audience.


A shorter time with the same capacity entails operating with higher currents. Current, temperature and number of cycles are the most important factors that influence capacity fading, meaning the decrease of the capacity of a lithium-ion battery.


Traditionally, battery tests are performed by measuring voltage and current. A more innovative method is to measure the force of a lithium-ion pack while charging or discharging processes in a fixed position. Using a suitable load cell, the test can be performed at various temperatures, and long-term tests are possible as well.


The requirements the force transducer must meet are given by the nature of the testing procedure: The long duration requires a low drift, and possible harsh environments make a hermetically sealed load cell necessary. Recent load cells are extremely accurate sensors, but as with every measurement, a certain measurement uncertainty occurs with a battery test as well.


This lecture will discuss the most important technical aspects for choosing a suitable load cell for a “punch cell test”, and you will also learn how to do an easy calculation to get a good estimation of the measurement uncertainty.

Session 2: Electrics Vehicle Powertrain Testing, Measurement and Analysis 




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Tuesday November 15 - Structural Health Monitoring - Bridges, Sensors and Analytics

Session 3: Structural Health Monitoring - Bridges and Sensors  




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From bridge inspection to population based structural health monitoring for bridges

Dr. David Hester, Senior Lecturer in Structural Engineering, School of Natural and Built Environment, Queen’s University Belfast 

Bridges are an interesting set of structures from the point of view of infrastructure management. Firstly, they are a diverse set of structures, and secondly, they individually experience significant variation in the environmental conditions and loading. The aim of this presentation is to provide an overview of how bridges are manged, the kind of sensing/monitoring that is sometimes undertaken and the trajectory of research in this area. Initially we look at how short to medium span bridges are typically managed via periodic visual inspections. Subsequently the presentation give a sense of the kind of monitoring that has been used on bridges, as well as some of the sensing and data processing challenges that exist. Finally, the presentation looks at some of the very latest research in particular the idea of looking at bridges, or subsets of bridges, as a population of structures.

Optical sensor technology and applications for civil structures

Cristina Barbosa, Product Manager Optical Business, HBK FiberSensing

Structural Health Monitoring systems aim to control the integrity of a structure throughout its service life so that planned maintenance and serviceability extension safely maximize this asset profitability. Monitoring systems are expected to reliably operate through long periods and to resist extreme events. The use of optical sensors based on Fiber Bragg Grating technology is becoming an interesting choice for Structural Monitoring Systems. In this presentation you will learn about the technology, product possibilities and current state of the art. The main challenges we are facing when monitoring civil structures will be identified and we will show how using optical technology can support on overcoming them with concrete application examples. 

Session 4: Structural Health Monitoring - Data Analytics




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Uncertainties and risk management for certification of machine learning & LG RUL Assessment

Haroun El Mir, PhD Researcher, Transport Systems, Cranfield University

Landing Gear Systems on Aircraft undergo a multitude of forces during their life cycle, leading to the eventual replacement of this system based on a ‘safe life’ approach that at certain circumstances underestimates the component’s remaining useful life.  The efficacy of fatigue life approximation methodologies is studied and compared to the ongoing Structural Health Monitoring techniques being researched, which will forecast failures based on the system’s specific life and withstanding abilities, ranging from creating a digital twin to applying neural network technologies, in order to simulate and approximate locations and levels of failure along the structure. Explainable Artificial Intelligence allows for the ease of integration of Deep Neural Network data into Predictive Maintenance, which is a procedure focused on the health of a system and its efficient upkeep via the use of sensor-based data. Test data from a flight includes a multitude of conditions and varying parameters such as the surface of the landing strip as well as the aircraft itself, requiring the use of Deep Neural Network models for damage assessment and failure anticipation, where compliance to standards is a major question raised, as the EASA AI roadmap is followed, as well as the ICAO and FAA.  This presentation additionally discusses the challenges faced with respect to standardizing the Explainable AI methodologies and their parameters specifically for the case of Landing Gear.

Tuesday November 22 - reliability of Electric Systems and Fault Tree Analysis

Session 5: reliability of Electric Systems 




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Session 6: Reliability Fault Tree Analysis




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Meet the Speakers

Thomas Kleckers

Product Manager - Force Sensors

Thomas Kleckers studied at the university for applied science in Duisburg and holds a diploma in physical engineering. He started working for HBM in 1992 as a development engineer for strain gauges with a focus on experimental stress analysis. Since 2009 Thomas has been the responsible Product Manager for force sensors at HBK.  With more than 25 years of experience in the field of measurement of mechanical quantities, Thomas brings much experience with the application of strain gauges and strain gauge-based sensors.  He has published several articles about transfer standards for force in the IMEKO organization and worked actively on the standard for the characterization of strain gauges. 

Mitch Marks

Business Development Manager - EPT

Mitch has worked in electric motor developing and testing his entire career and specializes in test and measurement traction motors and drives. He has been with HBK since 2017 as a member of the electric power testing team. He has an undergraduate and a master’s degree in electrical engineering from the University of Wisconsin – Madison WEMPEC program.

Dr. Holger Behme-Jahns

Head of Project Engineering and Acoustics (Discom GmbH)

Dr. Behme-Jahns has a PhD in Physics, graduating from Göttingen University. He joined Discom in 1995 as first employee to founder, Dr. Thomas Lewien, and has worked as technology and software developer, consultant, sales and many other roles during the growth of Discom. He currently heads the Project Engineering team at Discom which adapts our solution to customer needs, develops new approaches and supports our customers with training and consultancy.

Dr. Andrew Halfpenny

Director of Technology – nCode Products

Dr. Halfpenny has a PhD in Mechanical Engineering from University College London (UCL) and a Masters’ in Civil and Structural Engineering. With over 25 years of experience in structural dynamics, vibration, fatigue and fracture, he has introduced many new technologies to the industry including: FE-based vibration fatigue analysis, crack growth simulation and accelerated vibration testing. He holds a European patent for the ‘Damage monitoring tag’ and developed the new vibration standard used for qualifying UK military helicopters. He has worked in consultancy with customers across the UK, Europe, Americas and the Far East, and has written publications on Fatigue, Digital Signal Processing and Structural Health Monitoring. He sits on the NAFEMS committee for Dynamic Testing and is a guest lecturer on structural dynamics with The University of Sheffield.

Prof. Maria Pina Limongelli

Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering

Prof. Maria Pina Limongelli is Associate professor of Structural and seismic engineering at Politecnico di Milano and Guest Professor of Digital Structural Health Monitoring and Integrity Management at Lund University in Sweden. She holds a M.S. (1991) in Structural Engineering and a Ph.D. (1995) in Seismic Engineering. Her primary research interests are related to Value of SHM information analysis, Vibration-based monitoring, and SHM standardization. She is author of more than 200 scientific peer-reviewed papers and participates, with leading roles, in several national and international funded projects Structural Health Monitoring and performance assessment of roadway bridges. She coordinates activities in several committees, and associations such as ISHMII, fib, IABSE, and JCSS.

Dr. David Hester

Senior Lecturer in Structural Engineering, School of Natural and Built Environment, Queen’s University Belfast 

After completing my undergrad I worked for 8 years as a bridge designer/inspector. This prompted my interest in bridge Structural Health Monitoring (SHM) and I completed my PhD on the topic in University College Dublin. Since joining QUB my research interest has been on practical ways of collecting bridge data and how to exploit this data for decision making. In particular, through a collaboration with Electrical and Electronic Engineers, I am working on innovative autonomous bridge monitoring functionality. I have published extensively in the area (34 journal and 38 conference papers) with 1,035 citations and an H-index of 19. I have been PI or Co-I on grants worth over £2 million to the University.

Cristina Barbosa

Product Manager Optical Business, HBK FiberSensing

Cristina Barbosa is the Product Manager for HBK Optical Business since 2015, but her work with Fiber Bragg Grating technology started more than 15 years ago, soon after graduating from the Faculty of Engineering of Porto University as a Civil Engineer. Since then, she has been working in FiberSensing, currently HBK FiberSensing, taking different responsibilities from application engineering to sales, with important support to marketing activities.

Haroun El Mir

PhD Researcher, Transport Systems, Cranfield University

Haroun completed his BSc in Mechanical Engineering at the American University of Sharjah, with a focus on Aircraft Stability & Propulsion. He worked right after as a research assistant in Composite Materials with a Publication on "Improving the buckling strength of honeycomb cores".  Moving thereon to Cranfield University for an MSc in Aerospace Vehicle Design with a concentration in Avionics Systems Design, he focused on Landing Gear fatigue prediction using modelling and FE software, later pursuing a PhD in Transport Systems, seeking the continuation of his MSc Thesis and integrating it with a neural network approach & application in SHM.

Sam Eisenberg

HBK | Product Manager – ReliaSoft Products

Sam Eisenberg is the Product Manager for ReliaSoft Products and the Product Owner for ReliaSoft Desktop Products. Sam has been working with ReliaSoft since 2010, beginning with Technical Support, moving into the Application Engineer role, and then taking on the Product Manager / Product Owner roles.

Andrew Brown

Jaguar Land Rover, Battery Validation Group Leader, Electric Powertrain

Andrew graduated from Sheffield University in 2006 with a degree in Aerospace Engineering. Since then, he has worked in product development of Internal Combustion Engines, starting his career working on large diesel gensets for Perkins Engines and then transferring to Automotive ICE engine development at JLR. Andrew began working in the field of Reliability and Validation Methodology for base engines back in 2016, before leading the validation team on the new Range Rover PHEV battery (the first in-house developed battery at JLR). More recently he has transferred to a lead role in the Validation Methods & Reliability Technical Chapter, responsible for developing common Reliability Engineering practices for the Electric Propulsion System.

Dr. Patrick (Peng) Xiao

Jaguar Land Rover | Lead Engineer – Battery cell chemistry

Dr. Peng Xiao, also known as Patrick Xiao in Jaguar Land Rover. Patrick Xiao works in Jaguar Land Rover as a Battery Cell Technology & Design Technical Specialist in Advanced Cell Engineering team in 2017. He looks at that cell’s interfaces within the Pack for cell integration, DFMEA, cell testing & validation, cell safety, and cell ageing. He also had the experience of Pack attributes, cooling system design, BMS control in an excursion working experience in McLaren.


Patrick Xiao has a Ph.D. in chemical in Nanyang Technological University, specializing in electrochemistry.  He also worked in CATL for cell design and prototype cell manufacturing of HEV and BEV cells before he joined Jaguar Land Rover

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