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Delphi: Intelligent Driving technology achieves >10% CO2 reduction; predictive propulsion software and systems

Delphi Technologies, a global provider of propulsion technologies, is pairing vehicle electrification advances with existing and emerging automated and connected vehicle systems to boost fuel economy, lower emissions, and extend driving range.

Initial testing of what it calls “Intelligent Driving” has demonstrated a greater than 10% reduction in CO2 compared to regular driving modes when tested on a mild-hybrid vehicle in real-world driving conditions.

The Intelligent Driving system collects data on speed, location, topography, traffic light patterns, congestion, and more. This data is then funneled from the cloud into a propulsion controller that actively adjusts vehicle speed, energy balance and performance to help the vehicle make smarter, energy-saving decisions.

When applied to hybrid electric vehicles, Intelligent Driving technology has the potential to improve efficiency even further as new driver assistance technologies emerge, across all propulsion systems, including internal combustion, hybrid or full electric.

Our Intelligent Driving system works much like today’s cruise control – essentially something you can turn ‘on’ and ‘off’. With this approach, the system can be used with varying levels of driver assistance and automation, including those in operation today.

—Harry Husted, vice president of engineering, Electronics & Electrification, Delphi Technologies

Taking the technology a step further, Delphi Technologies has been collaborating since the beginning of the year with TomTom, a leader in location technologies, to collect and use TomTom data in its tests of the system’s cloud-based navigation and mapping capabilities. This is to help select the most energy-efficient routes, such as avoiding high congestion areas or construction zones.

Intelligent Driving will continue to evolve as more data becomes available and as active safety and connected vehicle systems become increasingly sophisticated.

In urban driving, for example, vehicle-to-infrastructure (V2I) or vehicle-to-vehicle (V2V) data can alert the system to traffic signal timing, an approaching emergency vehicle or other alerts that indicate a change in traffic patterns or road infrastructure.

Delphi Technologies is discussing possible co-development projects on its Intelligent Driving system with several OEMs, with production possible in the 2021-2022 time frame.



I imagine the trick is to estimate where your acceleration energy will be utilised, and if it will be unused, or wasted in imminent braking, don't accelerate, let the speed reduce naturally.
You could achieve much of the same in urban driving by just reducing the maximum speed, but you'd drive other road users crazy.

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