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Intern - Battery Diagnostics(m/w/x)
Developing and validating SOX estimation algorithms for battery management systems. Hands-on LFP cell experience and state estimation knowledge required. Healthy meals in company canteen, German and Mandarin language courses.
Requirements
- Strong knowledge of lithium-ion battery electrochemistry and degradation mechanisms
- Hands-on experience on LFP cells
- Experience with battery state estimation algorithms applied to BMS
- Knowledge in state estimation, battery modeling, data-driven modelling
- Proficiency in any programming language
- Experience with BMS algorithm testing
- Fluent written and spoken English
- Working knowledge of Chinese
- Working knowledge of German
Tasks
- Support SOX estimation algorithm development
- Test and validate SOX algorithms
- Analyze large-scale BMS field data
- Identify degradation signatures
- Detect sensor anomalies
- Identify operational outliers
- Perform quantitative analysis
- Investigate cell-level parameter impact
- Investigate system-level parameter impact
- Evaluate state estimation accuracy
- Assess battery lifetime
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- Chinese – Basic
- German – Basic
Tools & Technologies
- Python
- Matlab
- C++
- C
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German
- Language courses in Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
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Intern - Battery Diagnostics(m/w/x)
Developing and validating SOX estimation algorithms for battery management systems. Hands-on LFP cell experience and state estimation knowledge required. Healthy meals in company canteen, German and Mandarin language courses.
Requirements
- Strong knowledge of lithium-ion battery electrochemistry and degradation mechanisms
- Hands-on experience on LFP cells
- Experience with battery state estimation algorithms applied to BMS
- Knowledge in state estimation, battery modeling, data-driven modelling
- Proficiency in any programming language
- Experience with BMS algorithm testing
- Fluent written and spoken English
- Working knowledge of Chinese
- Working knowledge of German
Tasks
- Support SOX estimation algorithm development
- Test and validate SOX algorithms
- Analyze large-scale BMS field data
- Identify degradation signatures
- Detect sensor anomalies
- Identify operational outliers
- Perform quantitative analysis
- Investigate cell-level parameter impact
- Investigate system-level parameter impact
- Evaluate state estimation accuracy
- Assess battery lifetime
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- Chinese – Basic
- German – Basic
Tools & Technologies
- Python
- Matlab
- C++
- C
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German
- Language courses in Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Huawei Research Center Germany
Industry
IT
Description
Huawei is a leading global ICT solutions provider advancing innovation in information and communications technology.
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