Key Job Responsibilities:
• Develop application-layer models for supercapacitor energy storage systems (CMS), including system-level simulation models.
• Build equivalent circuit models (ECM) and dynamic characteristic models; develop parameter models for capacitance, ESR, temperature, and related factors.
• Design, develop, and validate SOX algorithms including SOC (State of Charge), SOP (State of Power), and SOH (State of Health) for supercapacitor applications.
• Implement and improve algorithms such as energy-based SOC estimation, online ESR identification, power boundary calculation, temperature compensation, aging models, and self-discharge compensation.
• Perform parameter extraction and model calibration based on experimental data; conduct online parameter identification (e.g., RLS/EKF/UKF) and analyse aging/consistency issues.
• Support testing and experimental validation; collaborate with cross-functional stakeholders to deliver modeling and algorithm solutions for Peak Shaving applications.
Location: Shanghai, CHN
Travel: 15%
Education/Professional Knowledge
• Bachelor’s degree or above in Electrical Engineering, Automation, Control, Energy Storage, Power Electronics, or related fields.
• 5-8+ years of development experience in energy storage, BMS, or supercapacitor-related systems.
• Familiarity with supercapacitor operating principles, energy storage system architectures, and Peak Shaving or other high-dynamic-power application scenarios.
• Must have: experience with ECM modeling, SOX algorithms, power control, and parameter identification.
• Proficient in MATLAB/Simulink for modeling, simulation, and data analysis.
• Preferred: supercapacitor CMS development experience; AIDC/data center Peak Shaving project experience; online identification with RLS/EKF/UKF; MIL/SIL/HIL experience.
• Strong systems thinking and modeling capability; strong problem analysis and debugging skills; ability to independently drive complex algorithm development; strong cross-team communication skills.