(Senior) Batterie Experte (m/w/d) - grüne Energiespeichersysteme

Our Battery Health team manages the testing and assessment of our battery modules as well as live monitoring of deployed systems.  To do so, we develop battery testing facilities, manage testing logistics and develop evaluation routines to determine key parameters such as State of Health. Our aim is to achieve complete insight of each battery’s condition during initial assessment and throughout its 2nd life and to increase our testing throughput, automation and capabilities. 

• Battery Analytics

  • Development of battery models and parameterisation methods

  • Research and development of battery screening and grouping algorithms

  • Optimisation of battery test protocols to reduce testing time while maximising the extractable features

  • Defining test plans for battery ageing tests and excecution with external partners

• Product development

  • Evaluation and analysis of potential new battery types (e.g. thermal tests, performance tests)

  • Defining operational strategy for energy storage systems (e.g. derating, operation windows, safety limits)

• Monitoring

  • Provide battery expertise for occasional analysis of monitoring data for internal support

  • Analyse and develop requirements for our Battery Cloud for operational efficiency and to meet evolving regulatory requirements, e.g., the battery passport

• Test facilities

  • Contribute to the development and optimisation of testing protocols as well as the associated test requirements (hardware, environment, etc.)

  • Collaborate with the software development to develop full automated workflows for battery data analysis and groupings, improving efficiency and scalability in battery health monitoring and diagnostics.

  • Collaborate on future developments in our testing strategy including testing methods and battery handling logistics

• Degree in Electrical Engineering, Chemical Engineering, Materials Science, or a related field

• Established battery expertise (>3 years) in more than one of the following areas: 

  • Battery testing (methods, standards)

  • Lithium-ion battery modelling (e.g., equivalent circuit models, machine learning)

  • Battery aging/degradation mechanisms

  • Analysis of test/monitoring data (e.g., cyclical data, pulse and EIS measurements)

  • SoC / SoH / RuL estimation algorithms

• Software / Data Science knowledge is an advantage

• Experience with battery testing hardware (e.g. battery cyclers, power electronics, eis) is nice to have 

• Active contribution to climate protection & the circular economy
• Free use of the Velocities (e-bikes) in Aachen
• Cooperation with Urban Sports Club
• Subsidy for the job ticket
• Office Dog
• 30 days holiday
• Flexible working hours and hybrid working
• Regular team events to strengthen the culture