18564262. ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD simplified abstract (BRIDGESTONE CORPORATION)
Contents
- 1 ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Predictive Energy Consumption Systems
- 1.13 Original Abstract Submitted
ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD
Organization Name
Inventor(s)
Yusuke Nobunaga of Chuo-ku, Tokyo (JP)
ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18564262 titled 'ENERGY CONSUMPTION PREDICTION SYSTEM FOR VEHICLE, ENERGY CONSUMPTION PREDICTION PROGRAM FOR VEHICLE, AND PREDICTION METHOD
Simplified Explanation
The system described in the patent application predicts the energy consumption of a vehicle based on travel conditions and road surface civility, allowing for the prediction of energy consumption for each route.
- Acquiring travel conditions, such as the number of travels on a specific route and tire wear, is done by a travel condition acquiring unit.
- The road surface civility acquisition unit gathers information on road surface civility corresponding to the energy consumption per travel distance for each route.
- An energy consumption predicting unit uses the acquired data to predict the vehicle's energy consumption for different routes.
Key Features and Innovation
- Prediction of energy consumption for vehicles based on travel conditions and road surface civility.
- Acquiring data on the number of travels on a route and tire wear to improve energy consumption predictions.
- Enhancing efficiency by predicting energy consumption for each route.
Potential Applications
This technology can be applied in:
- Vehicle fleet management for optimizing energy consumption.
- Route planning for electric vehicles to maximize efficiency.
- Tire wear monitoring systems for maintenance scheduling.
Problems Solved
- Predicting energy consumption for different routes.
- Improving efficiency in vehicle energy usage.
- Enhancing maintenance planning for tires.
Benefits
- Increased efficiency in energy consumption.
- Cost savings through optimized route planning.
- Improved maintenance scheduling for tires.
Commercial Applications
Predictive Energy Consumption System for Vehicles: Enhancing Efficiency and Cost Savings This technology can be utilized in:
- Fleet management companies to optimize energy usage.
- Electric vehicle manufacturers for route planning.
- Tire manufacturers for developing maintenance solutions.
Prior Art
Research on predictive energy consumption systems for vehicles and road surface civility analysis can be found in academic journals and industry reports.
Frequently Updated Research
Stay updated on the latest advancements in predictive energy consumption systems for vehicles and road surface analysis through academic publications and industry conferences.
Questions about Predictive Energy Consumption Systems
How does this technology benefit electric vehicle manufacturers?
Electric vehicle manufacturers can use this system to optimize route planning and improve energy efficiency, ultimately enhancing the performance of their vehicles.
What impact does tire wear have on energy consumption predictions?
Tire wear data is crucial for accurate energy consumption predictions as it directly affects the vehicle's efficiency and performance.
Original Abstract Submitted
The system includes a travel condition acquiring unit for acquiring travel conditions including information on the number of travels of a predetermined route R traveled by the vehicle V and the wear state of tires mounted on the vehicle, a road surface civility acquisition unit for acquiring the road surface civility RS corresponding to the energy consumption per travel distance of the vehicle for each route, and an energy consumption predicting unit for predicting the energy consumption of the vehicle based on the travel conditions and the road surface civility. Thus, the energy consumption of the vehicle for each route can be predicted.
