Intern - Battery Diagnostics

Huawei's Ohm Research Center (Nuremberg) is responsible for Advanced Technology Research, Architecture Evolution Design and Strategic Technology Planning.

Huawei Digital Power is a business unit within Huawei that provides Enterprise & Industry customers, products and solutions like clean power generation, transportation electrification, site power facilities, data center facilities, and embedded power. Huawei Digital Power is committed to integrate Digital and Power Electronics technologies to provide customers with high-quality, energy-efficient, green, and low-carbon power electronics products, facilitating their business success.

The Power Conversion Technology Laboratory within the Huawei's Ohm Research Center (Nuremberg) is responsible for Advanced Digital Power Technology Research, Architecture Evolution Design and Strategic Technology Planning, and plays an important role in the Huawei Digital Power business in the design and development of power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data Centers, Electric Vehicle, and Embedded Power Supply.

We are looking for a motivated student who will combine knowledge of lithium-ion battery electrochemistry and battery electrical energy storage systems (BESS) with analytics and modeling. Our team strives to develop novel approaches and algorithms, to improve the safety, performance, lifetime and economic value of BESS, ensure their safe and reliable deployment within the European energy sector, and finally contribute to the European energy transition. The student will work broadly with different stakeholders within and outside Huawei and drive innovation of our battery intelligence team.

Join us as a

Intern - Battery Diagnostics (m/f/d)

Your mission

• Support the development of SOX (SOC, SOH, etc.) estimation algorithms for LFP-based BESS

• Support the testing and validation of SOX algorithm from MIL to HIL

• Support the analysis of large-scale BMS field data to identify degradation signatures, sensor anomalies, and operational outliers across deployed fleets

• Perform quantitative analysis to investigate the impact of cell-level and system-level parameters on state estimation accuracy and battery lifetime

Your areas of expertise

• Currently enrolled in a MSc or PhD Program in quantitative disciplines, such as battery technology, electrical engineering, chemical engineering, physics, computer science, or similar

• Strong knowledge of lithium-ion battery electrochemistry and degradation mechanisms, ideally with hands-on experience on LFP cells

• Experience with battery state estimation algorithms (e.g., Coulomb counting, OCV-based methods, Kalman filters, equivalent circuit models) applied to battery management systems

• Knowledge in the domains of state estimation, battery modeling, data-driven modelling is a plus

• Proficient in any programming language is a plus (Python, Matlab, C++, C, etc.)

• Experience with BMS algorithm testing is a plus

• Fluent in written and spoken English language. Working knowledge of Chinese and German is a plus

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Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.

• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.

• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.

• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.