Researchers develop adaptive algorithm for hybrid plug-in cars

Researchers from University of California, Riverside have developed natural-life algorithms for hybrid cars that have boosted fuel economy by 30%.

Hybrid vehicles have got a new shot in the arm: researchers have concluded that plug-in hybrid cars could be made a lot more efficient in their fuel usage.

It turns out that while starting in pure electric mode could be beneficial for short runs, starting and stopping the gas engine can actually hurt your fuel economy.

Scientists have now found a solution in nature that can jiggle and mingle both modes to boost fuel efficiency in hybrid plug-in cars.

Researchers from the University of California, Riverside have developed an evolutionary algorithms that can learn to combine both, electric and gas, to maximize fuel efficiency.

Their algorithm adapts to your driving conditions and invokes the electric motor as and when required depending on various conditions, including whether you are stuck in a traffic jam or cruising down the highway.

In trial runs, the algorithms have had a 30% impact on fuel efficiency, which could potentially help you avoid a pit stop in the middle of your road trip. The adaptive algorithm even learns from other connected cars who share information with one another for a more intelligent decision.

Before you expect the tech in your life, do note that the team of researchers have yet to land a partnership contract with car companies.

While electric cars will dominate the future, these extra-efficient hybrids could act as a stopgap in the short run.

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