PhD Candidate in Real-Time Battery Emulation and HV Storage Diagnostics | Doktorand Echtzeitfähige Batterieemulation und HV-Speicher Zustandsdiagnosen (w/m/x)
BMW AG
Job Summary
As a PhD candidate at the BMW Group, you will conduct cutting-edge research focused on the robustness of high-voltage (HV) battery storage diagnostics. Your daily work involves scaling experimental cell data to full battery clusters, parameterizing physics-based cell models, and utilizing a specialized test bench to emulate various cell characteristics. You will analyze and develop advanced diagnostic algorithms to detect deviations in State of Health (SOH) and State of Charge (SOC), validating these strategies against realistic customer operating profiles. This role requires a strong academic background in electrical or automotive engineering, combined with expertise in lithium-ion battery technology and aging mechanisms. You will collaborate closely with cross-functional teams in cell development, software engineering, and HV storage technology. This position is uniquely attractive as it offers the opportunity to apply academic research to real-world automotive challenges within a leading global premium manufacturer, supported by professional mentoring and a structured 36-month development program.
Required Skills
Education
Completed university degree (Master's or equivalent) in Electrical Engineering, Automotive Engineering, Natural Sciences, or a related technical field.
Experience
- Professional experience in battery cell and high-voltage storage technology.
- Experience in modeling and simulation of battery systems, ideally using physics-based models.
- Experience in sensitivity analysis, parameter identification, and statistical evaluation of measurement data.
- Academic background in Electrical Engineering, Automotive Engineering, or related technical fields.
Languages
Additional
- Non-EU citizens require a valid residence or work permit for the duration of the program. The position is a 36-month fixed-term research program.
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