Skip to Content

Electric Cars Primer

Hybrids, plug-ins, and extended-range electric cars are hitting the market. Use this interactive primer to learn how they work.
April 22, 2008

Hybrids such as Toyota’s Prius have become a common sight. Now major automakers are proposing a next generation of hybrids that can be plugged in to extend their electric range and vastly improve fuel economy. This interactive graphic shows how conventional hybrids work, as well as how two versions of these proposed plug-in hybrids, one labeled “Plug-in Hybrid” and the other “Extended-Range Electric,” work. Each of these plug-in hybrids operates differently when the battery is charged versus when it is largely depleted. Click on one of the five buttons above to view animations of how the vehicles operate under different driving conditions. Each vehicle operates during a stylized drive cycle, starting at low speeds, accelerating to highway speeds, and then decelerating to a stop. If at any time you’d like to pause the animation or select a different part of the drive cycle, click on the appropriate section of the graph at the bottom right of the graphic.

The first type of plug-in hybrid, labeled “Plug-in Hybrid,” is basically a conventional hybrid vehicle with a larger battery pack. Companies such as Toyota and Ford are developing hybrids of this type. For heavy acceleration and high speed, these vehicles rely on power from both an internal combustion engine and an electric motor. But a larger battery pack in plug-in hybrids allows them to rely much more on electricity than conventional hybrids do.

“Extended-Range Electric” vehicles represent a radical departure from conventional hybrids. Whereas in conventional hybrids, the wheels are turned by an electric motor, a gasoline engine, or both, the wheels in these new cars will be turned only by a large electric motor. For short trips, the motor will run on battery power alone. For longer trips, a gasoline-powered generator kicks in to supply electricity.

Interactive graphic by Alastair Halliday

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.