Year of Graduation
Dartmouth Formula Racing, Hanover, NH
Dartmouth Formula Racing (DFR) lacked a dedicated, robust drive control strategy that considers both dynamic vehicle conditions and the state of the battery pack. The proposed drive control algorithm must be compliant with Formula Hybrid + Electric rules and regulations and be optimized for both the autocross and endurance events. Prioritizing safe and reliable integration with the rest of the vehicle systems, the team designed a drive control algorithm that implements torque vectoring and regenerative braking and optimizes energy consumption of the custom accumulator. Through careful and thorough documentation, the team has laid the groundwork for successful integration of the algorithm into the Central Vehicle Controller (CVC), the onboard vehicle computer. Collaboration throughout initial project scoping to final design implementation ensured effective knowledge transfer to Dartmouth Formula Racing.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Bibow, Menard; Brown, Ashley; Lee, Jenna; Neath, Tyler; Srivats, Suraj; and Verdeflor, Garth, "Drive Control" (2022). ENGS 89/90 Reports. 47.
Available to Dartmouth community via local IP address.