View source for Hyundai motor company (20240200959). APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF simplified abstract

=APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF=


==Organization Name==

[[:Category:hyundai motor company|hyundai motor company]]


[[Category:hyundai motor company]]

==Inventor(s)==

[[:Category:Dong Hoon Jeong of Seongnam-si (KR)|Dong Hoon Jeong of Seongnam-si (KR)]][[Category:Dong Hoon Jeong of Seongnam-si (KR)]]

[[:Category:Jung Hwan Bang of Seoul (KR)|Jung Hwan Bang of Seoul (KR)]][[Category:Jung Hwan Bang of Seoul (KR)]]

[[:Category:Hyung Seuk Ohn of Seoul (KR)|Hyung Seuk Ohn of Seoul (KR)]][[Category:Hyung Seuk Ohn of Seoul (KR)]]

[[:Category:Won Seok Jeon of Anyang-si (KR)|Won Seok Jeon of Anyang-si (KR)]][[Category:Won Seok Jeon of Anyang-si (KR)]]

[[:Category:Ki Sang Kim of Seoul (KR)|Ki Sang Kim of Seoul (KR)]][[Category:Ki Sang Kim of Seoul (KR)]]

[[:Category:Byeong Wook Jeon of Seoul (KR)|Byeong Wook Jeon of Seoul (KR)]][[Category:Byeong Wook Jeon of Seoul (KR)]]

[[:Category:Dong Hoon Won of Suwon-si (KR)|Dong Hoon Won of Suwon-si (KR)]][[Category:Dong Hoon Won of Suwon-si (KR)]]

[[:Category:Hee Yeon Nah of Seoul (KR)|Hee Yeon Nah of Seoul (KR)]][[Category:Hee Yeon Nah of Seoul (KR)]]

==APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240200959 titled 'APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF

The abstract describes an energy efficiency improvement learning apparatus that utilizes a reinforcement learning algorithm to minimize vehicle energy consumption during driving under random conditions. The apparatus includes a processor for learning vehicle control and a storage medium for storing data and algorithms.

* Processor performs learning for vehicle control to minimize energy consumption
* Reinforcement learning algorithm used to optimize vehicle driving parameters
* Learned parameters provided to the vehicle for improved energy efficiency
* Storage medium stores data and algorithms for efficient operation
* Algorithm executable by the processor for energy optimization

Potential Applications:
- Automotive industry for improving fuel efficiency in vehicles
- Transportation sector for reducing energy consumption in fleets
- Autonomous driving systems for optimizing energy usage

Problems Solved:
- Minimizing energy consumption during vehicle driving
- Enhancing fuel efficiency in vehicles
- Improving overall energy optimization in transportation

Benefits:
- Reduced fuel costs for vehicle owners
- Lower carbon emissions for environmental sustainability
- Enhanced performance and efficiency in vehicle operations

Commercial Applications:
Title: "Energy Efficiency Improvement Learning Apparatus for Vehicles"
This technology can be utilized by automotive manufacturers, transportation companies, and autonomous vehicle developers to enhance energy efficiency, reduce operational costs, and improve overall performance in vehicle fleets.

Questions about Energy Efficiency Improvement Learning Apparatus for Vehicles:
1. How does the reinforcement learning algorithm optimize vehicle energy consumption?
- The reinforcement learning algorithm adjusts vehicle control parameters based on feedback received during driving to minimize energy consumption.

2. What are the potential long-term benefits of implementing this energy efficiency improvement technology in vehicles?
- Implementing this technology can lead to significant cost savings on fuel, reduced environmental impact through lower emissions, and improved overall efficiency in vehicle operations.


==Original Abstract Submitted==

an energy efficiency improvement learning apparatus includes a processor configured to perform learning for vehicle control to minimize vehicle energy consumption required for vehicle driving under random conditions based on a reinforcement learning algorithm, and provide learned parameters of the reinforcement learning algorithm to a vehicle. the energy efficiency improvement learning apparatus also includes a storage medium configured to store data and algorithms, and the reinforcement learning algorithm executable by the processor.



[[Category:G01C21/34]]
[[Category:B60W40/105]]
[[Category:CPC_G01C21/3469]]