Predictive V2X Torque Control for Multi-E-Axle EV Efficiency
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…
- College: College of Engineering (COE)
- Inventors: Safder, Ahmad Hussain; Ahmed, Qadeer; Hanif, Athar
- Licensing Officer: Ashouripashaki, Mandana
Vulnerability and Attackability analysis of automotive controllers using structural model of the system
TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system.
The Need
Automated vehicle technologies improve safety, assis…
- College: College of Engineering (COE)
- Inventors: Renganathan, Vishnu; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana
Dynamic Control Scheme for Multiphase Electric Machine
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…
- College: College of Engineering (COE)
- Inventors: Hanif, Athar; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana