Researchers from ORNL’s Vehicle and Autonomy Research Group created a control strategy for a hybrid electric bus that demonstrated up to 30% energy savings. Credit: University of California, Riverside
91 researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
The Integrated Eco-Drive technology used a combination of powertrain control techniques, advanced machine learning and multiple sensors to determine an optimal driving speed that conserves the most energy. The , developed in collaboration with the University of California, Riverside, and US Hybrid Corporation, offers significant energy savings for medium- and heavy-duty vehicles operated on defined bus and delivery truck routes. The system was subsequently licensed by US Hybrid.
“Co-optimizing the combustion engine output, electric motor output and battery state of charge – and taking into account the repeated route – helps us ensure the best performance,” said ORNL’s Zhiming Gao.
“We can apply this same strategy to light-duty cars and trucks, especially networks of connected vehicles, and realize significant energy savings,” ORNL’s Tim LaClair said.
