TS-075755 — Electrification of high-power off-highway equipment remains challenging due to highly variable operating conditions, unpredictable duty cycles, demanding torque requirements, and limited charging infrastructure. Conventional energy management approaches often struggle to balance fuel efficiency, b…

TS-075750 — Agricultural tractors operate under highly variable conditions that make power demand, fuel consumption, and equipment performance difficult to predict. Differences in soil characteristics, terrain, field layouts, implements, and operator practices can cause substantial variability in energy use, …

TS-073111 — Urban intersections are among the highest‑risk environments for automated and human‑driven vehicles due to occlusions, complex right‑of‑way, mixed traffic, and inconsistent connectivity. On‑board perception alone often misses beyond‑line‑of‑sight actors, while centralized or game 

TS-070632 — The Need As electric vehicles (EVs) evolve toward multi-e-axle architectures, traditional energy management strategies fall short in optimizing power distribution and minimizing energy waste. Current systems lack the predictive intelligence to adapt to dynamic driving conditions, leading to suboptim…

TS-063033 — The Need As automobile manufacturers strive to achieve greater fuel efficiency and reduce emissions, the adoption of Electric Vehicles (EVs) and other Electric Drive Systems (EDSs) has surged. However, these electrified powertrains face performance challenges, especially in extreme environments. To…