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Conventional Vehicle Efficiency

Reducing carbon emissions

Improving Conventional Vehicle Efficiency

EVs are GM’s future. As we move closer to our vision of an all-electric portfolio, we also are committed in the nearer term to improving the efficiency of vehicles that rely on the ICE. Continual improvements in vehicle engine and transmission efficiency, as well as vehicle weight, are helping us to eliminate excess material use in manufacturing, while reducing fuel use and costs for customers. Lightweight materials and other innovations also further our EV development work—up to 80% of ICE vehicle development costs that don’t involve propulsion are also shared by EVs.

As an example, our models containing stop-start technology enable the vehicle’s engine to turn off when the car is stopped or idled. These engines provide a fuel economy benefit of between approximately 3% to 5%, tangibly decreasing CO2 emissions for consumers who face extended idle times. In the U.S., to date, stop-start engine technology is expected to save GM customers 1.1 billion gallons of fuel and 10.2 million metric tons of CO2 emissions over the lifetime operation of their vehicles.

Expansion of Fuel-Saving Technologies in Conventional Vehicles
(Percent of Total U.S. Volume)

Stop-Start Technology*

Downsized-Turbo Engines*

Advanced Transmissions*

  1. To improve the consistency and quality of our long-term advanced technology data reporting, we are using model year rather than calendar year data.
Stop-Start Technology*
2016 2017 2018 2019 2020
24% 43% 58% 70% 84%
  1. To improve the consistency and quality of our long-term advanced technology data reporting, we are using model year rather than calendar year data.
Downsized-Turbo Engines*
2016 2017 2018 2019 2020
23% 38% 36% 43% 35%
  1. To improve the consistency and quality of our long-term advanced technology data reporting, we are using model year rather than calendar year data.
Advanced Transmissions*
2016 2017 2018 2019 2020
20% 32% 47% 55% 72%
  1. To improve the consistency and quality of our long-term advanced technology data reporting, we are using model year rather than calendar year data.