18217646. APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF simplified abstract (HYUNDAI MOTOR COMPANY)
Contents
APPARATUS FOR LEARNING ENERGY EFFICIENCY, A SYSTEM HAVING THE SAME, AND A METHOD THEREOF
Organization Name
Inventor(s)
Dong Hoon Jeong of Seongnam-si (KR)
Won Seok Jeon of Anyang-si (KR)
Byeong Wook Jeon of Seoul (KR)
Dong Hoon Won of Suwon-si (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 18217646 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.
- Processor performs learning for vehicle control under random conditions based on the reinforcement learning algorithm.
- Learned parameters of the algorithm are provided to the vehicle for improved energy efficiency.
- Storage medium stores data and algorithms, including the executable reinforcement learning algorithm.
Potential Applications: - Automotive industry for enhancing energy efficiency in vehicles. - Transportation sector to reduce fuel consumption and emissions. - Autonomous driving systems to optimize energy usage.
Problems Solved: - Minimizing vehicle energy consumption. - Improving overall energy efficiency in driving scenarios.
Benefits: - Reduced fuel costs for vehicle owners. - Lower environmental impact through decreased emissions. - 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, fleet operators, and transportation companies to optimize energy usage, reduce operational costs, and improve sustainability efforts in their operations.
Questions about Energy Efficiency Improvement Learning Apparatus: 1. How does the reinforcement learning algorithm contribute to minimizing vehicle energy consumption?
- The reinforcement learning algorithm helps the vehicle control system make decisions that lead to reduced energy consumption by learning from past experiences and optimizing driving behavior.
2. What are the potential long-term benefits of implementing this energy efficiency improvement learning apparatus in vehicles?
- Long-term benefits include cost savings on fuel, reduced environmental impact, 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.
