Lily Chen

- Led the battery cell modeling and simulation team at Chicago R&D Center, driving model-based design and development for next-generation battery cells - Established the simulation team from the ground up, building core competencies in electrochemical modeling, multi-physics simulation, and cell performance analysis - Defined team structure, created job descriptions, and successfully recruited key talents across cell simulation, system design, and validation disciplines to support strategic R&D initiatives

- Managed end-to-end engineering design and development of four EV battery products for U.S. customers, from concept design, DVP, certification, to mass production - Oversaw critical product development stages including design reviews, drawing releases, DFEMA, PFEMA, control plan, sample builds, product validation, OTS approval, and PPAP audit - Led a global engineering team from U.S. and China, supporting purchasing, manufacturing, testing, and quality functions to ensure smooth project execution - Built and maintained strong customer relationships throughout the project, leveraged Gotion globally distributed manufacturing plants to minimize project life cycle costs and risks associated with US-China tariffs

- Developed advanced control algorithms and strategies in MATLAB/Simulink for electric propulsion systems used in battery-electric and hydrogen fuel cell Class 8 trucks - Analyzed large-scale battery operation data to diagnose control issues, utilizing raw CAN data decoding (DBC files) and analytics platforms including CAN Cloud and Grafan - Created modeling and simulation tools to optimize vehicle-level control performance and improve algorithm robustness through unit-level to system-level test - Supported fuel cell electric vehicle (FCEV) control software development through logic updates, Hardware-in-the-Loop (HIL) testing, and bench validation

- Conducted Li-ion battery performance and degradation modeling using electrochemical methods (Doyle-Fuller-Newman, Single Particle Model), equivalent circuit models, and data-driven machine learning algorithms - Designed battery systems and control algorithms to extend battery life in a commercial electric truck development project in collaboration with local manufacturers in Victoria, Canada - Developed a nested optimization algorithm to solve coupled optimal design and control problems for hybrid electric systems with multiple power sources, successfully applied on trucks, marine ships, and mining vehicles. - Effectively communicated technical findings to stakeholders across disciplines, ensuring alignment and shared understanding

- Led modeling and simulation for a light-duty fuel cell electric truck project, optimizing Li-ion battery system design and control for extended system lifetime - Designed and developed the ejector-based hydrogen supply and recirculation system for PEM fuel cell with newly invented ejector structure, optimized geometric parameters, and improved entrainment capability - Managed 10+ ejector design projects for various PEM fuel cell systems ranging from 25 to 150 kW - Developed and validated control software for the fuel cell electric powertrain system through model-, software- and hardware-in-the-loop methodologies (MIL/SIL/HIL) - Managed version control with Git and continuously improved development workflows through collaborative efforts

- 4 years’ experience in Li-ion battery pack design and development for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEV), including battery cell and system modeling, simulation, and validation - 2+ years’ first-hand experiences of battery lab test and vehicle field experiment to validate battery ESS performance and safety under normal and extreme temperature conditions - Led product development meetings regularly with cross-functional teams (suppliers, designers, engineers, etc.) for HEV and PHEV battery thermal system design, integration, and installation - Professionally trained of GM’s Global Vehicle Development Process (GVPD), Global Powertrain Development Process (GPDP), Design Failure Mode & Effects Analysis (DFMEA) - Obtained Green Belt of GM Design for Six Sigma

- Designed the Li-ion battery cooling system for a hybrid electric vehicle collaborated with BMW AG, responsible for the battery thermal system design, simulation, and test - Analyzed government incentive policies for fuel cell vehicles around the world, contributed in a proposal to Shanghai government on fuel cell bus subsidy criterion “Research of Encouragement Policies for Fuel Cell Buses”

Recorded and analyzed operating data of 10+ hydrogen PEM fuel cell buses during Shanghai EXPO 2010

• University Fellowship Award, Graduate Entrance Award recipient • Coursework: Fuel Cell Technology, Fundamentals of Hybrid Vehicle, Global Optimization, Mechatronics • Dissertation: Integrated Design and Control Optimization of Hybrid Electric Marine Propulsion Systems based on Battery Performance Degradation Model

• Coursework: Battery Systems and Controls, Analysis and Control of Hybrid Electric Vehicles

• A-class Scholarship recipient • Coursework: Fuel Cell Technology, Advanced Thermodynamics, Advanced ICE, Fluid and Heat Transfer • Thesis: Simulation and Test of an Electric Vehicle Thermal Management System

• Outstanding Graduating Student Award, National Encouragement Scholarship recipient • Major: Thermal Energy and Power Engineering. Coursework: Thermodynamics, Fluid Mechanics, Combustion Engineering, Automatic Control Principle and System, Heat Transfer • Thesis: Design of a Low-speed Wind Tunnel Measurement System