# Cost-Cutting Vehicle Systems This Hybrid EMS Creates Energy-Efficient Cars That Learn By Laura McQuarrie | Published 2016-02-23 | Autos Source: Trend Hunter, https://www.trendhunter.com/trends/energy-efficient-cars References: [spectrum.ieee.org](http://spectrum.ieee.org/cars-that-think/transportation/advanced-cars/hybrid-car-system-learns-fuel-efficiency) & [eurekalert.org](http://www.eurekalert.org/pub_releases/2016-02/uoc--gmm020916.php) An engineering team from [University of California](https://www.trendhunter.com/trends/mclaren-and-central-saint-martins), Riverside envisions that energy-efficient cars of the future will not be defined by a trait, but from an ability to learn more sustainable habits. The proposed hybrid energy management system is designed to advance the existing energy management systems that are key components of [plug-in hybrid electric vehicles](https://www.trendhunter.com/trends/mercedesbenz-canada1). This system is what manages the usage of fuel and electricity and proposes that each power source could be used in only the most efficient way. This system is set to make use of [machine learning software](https://www.trendhunter.com/trends/aipowered-driving-app) to assess road and traffic conditions. When the new hybrid energy management system was tested on a 32-kilometer commute in Southern California, the intuitive system was able to provide a savings of 12%. Beyond simply noting the historical behaviors of individual drivers, the engineers envision that the next step would be to build an entire cloud-based network where cars could learn from one another. ## Trend Insights (Trend Hunter) - Score: 1.1/10 - Popularity: 13% | Activity: 11% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Autos](https://www.trendhunter.com/autos) ## Key Themes ### What's Driving This Trend - **Hybrid Energy Management Systems:** Developing hybrid EMS creates opportunities to advance existing energy management systems through the use of machine learning software - **Machine Learning Software for Cars:** Machine learning software for cars offers opportunities for energy-efficient, environmentally friendly vehicles that are capable of autonomous learning - **Cloud-based Networks for Autonomous Cars:** The next step is constructing a cloud-based network where autonomous cars could learn from one another ### Who This Affects Most - **Automotive Industry:** The automotive industry has opportunities to develop energy-efficient vehicles with hybrid energy management systems and machine learning software - **Machine Learning Industry:** Machine learning industry has opportunities to develop software catered for automotive companies to advance and develop more energy-efficient vehicles - **Cloud Computing Industry:** The cloud computing industry can offer development for cloud-based networks for autonomous cars to share data to improve autonomous driving capabilities ## Related on Trend Hunter - [Efficient Dual-Motor Hybrid Cars](https://www.trendhunter.com/trends/honda-civic-ehev.md) - [Range-Boosting Aerodynamic Systems](https://www.trendhunter.com/trends/aerodynamic-system.md) - [Autonomous Road-Assessing Features](https://www.trendhunter.com/trends/lane-monitoring.md) - [Intelligent Energy Vehicle Architectures](https://www.trendhunter.com/trends/energy-vehicle.md) - [Off-Road Hybrid Powertrain Systems](https://www.trendhunter.com/trends/offroad-vehicles1.md) - [AI-Empowered Vehicle Designs](https://www.trendhunter.com/trends/toyota-research-institute2.md) - [AI-Enhanced Electric Auto Designs](https://www.trendhunter.com/trends/intelligent-electric-mobility.md) - [Intelligent Grid-Reactive EV Chargers](https://www.trendhunter.com/trends/smart-ev-charging-technology.md) - [Streamlined Two-Seater Electric Cars](https://www.trendhunter.com/trends/autonomous-electric-car-concept.md)