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Hybrid Car System Learns Fuel Efficiency

An adaptive plug-in hybrid system can use driving data to make consumption of electric and fossil fuel power more efficient

2 min read
Hybrid Car System Learns Fuel Efficiency
Illustration: iStockphoto

Most plug-in hybrid cars have just several basic driving modes designed for general driving scenarios on the highway or in city traffic. A new system can actually learn from driving trips to balance the use of electricity and fuel in the most fuel-efficient manner.

This futuristic vision of hybrid cars adapting to become more fuel efficient comes from engineers at the University of California, Riverside. Their special hybrid energy management system uses machine learning software to improve vehicle fuel efficiency based on road and traffic conditions. By comparison, basic “binary” hybrid car modes make the car start driving in all-electric mode and continue until the battery has been depleted. Then the gasoline engine takes over. Driving tests on a 32-kilometer commute in Southern California showed that the new “learning” system achieved average fuel savings of almost 12 percent compared with today’s binary-mode systems.

“Our current findings have shown how individual vehicles can learn from their historical driving behavior to operate in an energy efficient manner,” said Xuewei Qi, a Ph.D. candidate in electrical and computer engineering at the University of California, Riverside, in a press release. “The next step is to extend the proposed mode to a cloud-based vehicle network where vehicles not only learn from themselves but also each other.”

The idea of networked cars wirelessly sharing information that makes them more fuel efficient could become a reality in the not-so-distant future. But for now, the university has filed patents based on the research published in the 5 February online edition of the journal Transportation Research Record.

Perhaps the biggest caveat for this study’s findings comes from how the researchers compared their special learning mode with the binary hybrid car modes. Many commercial hybrid cars actually offer several driving modes that don’t necessarily just run the electric motor until it’s depleted. For example, the 2015 Honda Accord Hybrid uses an all-electric mode only when starting from a stop or braking. Otherwise it runs on a combination of both electricity and gas—or the engine by itself once it reaches highway cruising speeds.

In that sense, it’s probably worth taking the reported fuel efficiency improvements in the study with a pinch of salt. But the general idea of having an energy management system capable of learning from historical driving trip data certainly seems promising. That concept could truly become revolutionary if the vision of smart cars talking with each other becomes widespread.

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Chinese Joint Venture Will Begin Mass-Producing an Autonomous Electric Car

With the Robo-01, Baidu and Chinese carmaker Geely aim for a fully self-driving car

4 min read
A black car sits against a white backdrop decorated with Chinese writing. The car’s doors are open, like a butterfly’s wings. Two charging stations are on the car’s left; two men stand on the right.

The Robo-01 autonomous electric car shows off its butterfly doors at a reveal to the media in Beijing, in June 2022.

Tingshu Wang/Reuters/Alamy
Purple

In October, a startup called Jidu Automotive, backed by Chinese AI giant Baidu and Chinese carmaker Geely, officially released an autonomous electric car, the Robo-01 Lunar Edition. In 2023, the car will go on sale.

At roughly US $55,000, the Robo-01 Lunar Edition is a limited edition, cobranded with China’s Lunar Exploration Project. It has two lidars, a 5-millimeter-wave radars, 12 ultrasonic sensors, and 12 high-definition cameras. It is the first vehicle to offer on-board, AI-assisted voice recognition, with voice response speeds within 700 milliseconds, thanks to the Qualcomm Snapdragon 8295 chip.

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