Luting Wang Email & Phone Number

Troy, Mi, Us

Dublin, Ie

• Lead the software development and deliveries of lateral features including Lane Centering (with/without trailer), Lane Keep Assist, Emergent Lane Keep and Evasive Steering Assist.• Collaborated with project management team, system team, functional safety team, architecture team, and software integration team to align on feature requirements and delivery timeline.• Launched level 0 to level 2 ADAS lateral feature software stacks in March 2021 and received outstanding feedback from customer and media. Level 2+ lateral feature software is ready for production release. • Collaborate with system engineers to define feature performance KPIs and lead feature performance assessment to comply with Function Safety, OEM requirement, EuroNCAP protocol and ECE79 regulation. • Lead the development of steering system characterization procedures and lateral controls calibration procedures. Collaborated with steering system suppliers and OEM functional integrators to calibrate steering system performance in ADAS mode. • Mentored junior teammates for lateral control algorithms design, and coached Poland engineers to perform controller tuning activities with European customer engineers. • Plan and coordinate teamwork by following Agile framework.

Dublin, Ie

• Developed and improved motion control algorithms (MPC, LQR, PID) based on a bicycle model collaborating with teammates, and designed target threat assessment algorithm for lateral controls of ADAS features.• Developed open-loop and closed-loop controllers to compute steering torque command for steering system. • Performed Rapid prototyping testing/debugging using dSPACE/ControlDesk through Ethernet UDP and CAN FD communication, and real-time data analysis using CANoe, CANape and in-house development tool.• Enhance MPC-based lateral controls performance considering real road scenarios and user-focused events. Lead technical discussion with customer and demonstrate improved functions to customers. • Followed ASPICE process for software quality insurance.

Vehicle Grid Integration SIL research (Sponsored by Argonne National lab)Jan 2015－Aug 2018• Designed distributed control algorithm for large-scale PEV Charging planning and V2G service. • Designed optimal PEV charging planning method using real-time prototype simulator (Opal-RT) with support from Argonne National Lab. • Designed bidirectional PEV charger.Model-based embedded HIL simulation and control of HEV powertrainSep 2014－Sep 2015, 1 year• Developed HEV powertrain controller including engine/motor power blending control and vehicle speed control using rapid prototyping system with ECU, sensors and CAN communication.• Improved HEV energy management strategy to boost HEV fuel economy.

1. Distributed Embedded System Control: Conducted labs to introduce real-time fuel injection control, throttle position control, HEV powertrain Control, CAN communication between two ECUs.2. Dynamic System and Control lab: Conducted labs to develop and estimate dynamic model for cart/rod/motor system; design PID, State Feedback controllers to control cart position/rod angle/inverse pendulum movement in real-time.3. Energy Lab: Reinforce principles of thermodynamic, fluid mechanics and heat transfer, including Engine combustion cycle analysis, HVAC cycle analysis. (ESS and real hardware experimental equipment.)

Van Buren Township, Mi, Us

• Designed Steering Planning algorithm based on predicted best tracking waypoints.• Collaborated with colleagues to test Path Planning algorithm based on a precise map of Visteon campus.

Jiaxing City, Zhejiang, Cn

3D modeling for Vehicle exterior parts design with UG and CATIA. Considering the mechanical analysis and mold manufacturing feasibility. High-gloss injection product development.

Doctor Of Philosophy (Ph.D.), Mechanical Engineering

Master’S Degree, Mechanical Engineering

Bachelor’S Degree, Mechanism Design, Manufacturing And Automatization