Leading R&Ds of EV powertrain systems and software

• Design robust controls algorithms for embedded real-time vehicle controller via MATLAB/ Simulink/ Stateflow and Auto-code generation using Embedded Coder.➢ Lead the integration of next-gen HV battery pack, battery management system (BMS) and design of the company’s 1st liquid cool Battery thermal management system (BTMS).➢ Electric motor control: optimization for energy efficiency and drivability during driving and regen.➢ Optimization of HVAC system (AC compressor, PTC heater, radiator fan and pump)➢ Misc. systems: charger (AC J1772, DC CHAdeMO, CCS), inverter, EPB, sleep manager…etc• Created physics-based, control-oriented 1-D vehicle and battery simulation platform to support virtual calibration and perform test data correlation to improve simulation accuracy.• Develop software infrastructure in an object-oriented fashion, making high degree of re-use of existing objects and objects that are highly reusable.• Release modeling style guide and convention, and develop model checks for MAAB, MISRA, ISO 26262 compliance and high integrity automotive production level control software.• Lead implementation of V-Cycle for full model-based software development life cycle.• Design and conduct unit and powertrain integration verification tests at HIL bench and vehicle level.• Create GUI and utility tool for test data post-processing to facilitate visualization and analysis.• Debugged and troubleshoot field software and hardware issues in bench using CANalyzer, oscilloscope, and multimeter.• Coordinate with cross-functional teams including mechanical, program, marketing and end customer to develop requirements and design for new products.

• Perform model-based system design and analysis of advanced xEV (HEV, PHEV, BEV) platforms using MATLAB/Simulink and other simulation tools to determine optimal hybrid powerpack.➢ Develop physics-based, control-oriented plant models for electrified vehicle systems.➢ Incorporate third-party tools (Dymola, GTPower) for co-simulation with FMI➢ Improve accuracy of model by utilizing Parameter Diagram (P-Diagram) based model vs test correlation framework.➢ Lead the cascade of powerpack targets to sub-systems (engine, transmission, battery, eDrive, etc), and analysis of vehicle fuel economy and performance capabilities.➢ Apply optimization techniques and DOE studies to balance trade-offs (fuel/energy, performance, drivability, failure modes and costs) and optimize hybrid control strategies.➢ Set up software in Loop (SIL) with production control C-code incorporated in model environments.• Perform system validation via MIL/SIL/HIL.• Apply parallel computing and big data methodologies to perform analysis of real-world trip data and develop an insight for the design of future vehicles.• Create post-processing tools for analysis of simulation, vehicle and component level test data employing signal processing algorithms, data-fitting techniques.• Lead data analysis of Energy Economy Regulatory Certification tests for products launched in the US (EPA), EU(NEDC and WLTP), and China (NEDC) to prove strategy changes and regulation conformity.• Reconcile CAE methods with system engineering processes (requirement, DFMEA, 8Ds and ISO26262) for best reliability. Create Design Verification Plan & Report (DVP&R) to improve modeling and calibration integrity.

• Projects involving xEV modeling and control, ADAS, Embedded controller design and Robotics• Tutor in signal and system class, MATLAB, PSPICE simulation and instrumentation training.