Vehicle Drive Mode Guide System for Energy Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electric vehicles face challenges in maintaining optimal energy consumption due to varying road conditions, environmental factors, and user habits, making it difficult to consistently achieve selected drive modes.
Innovation Solution
A drive mode guide system that includes an input unit, road information storage, real-time environmental data, vehicle information storage, and a control unit to calculate expected energy flow and recommend suitable drive modes based on the traveling path, considering dynamic load, fluid resistance, fuel consumption, and heat load states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a vehicle uses fixed drive modes based on vehicle systems, then the drive modes can be simplified and easier to operate, but the energy consumption cannot be optimized for varying road conditions and environmental factors
Solution Approach 1:
The system dynamically adjusts drive mode recommendations based on real-time road conditions, environmental factors, and vehicle state. The control unit continuously monitors GPS location, road gradient, curvature, traffic conditions, weather, and vehicle parameters to adaptively determine optimal drive modes, transforming static drive mode selection into a dynamic, context-aware system.
Solution Approach 2:
The system implements feedback by continuously monitoring actual vehicle performance and road conditions, then using this information to refine drive mode recommendations. The control unit receives real-time data from various sensors and uses it to adjust recommendations, creating a closed-loop system that learns from actual traveling conditions and user responses.
2Use of energy by moving object
If a vehicle calculates expected consumed energy flow for multiple possible-traveling paths, then the energy efficiency can be optimized, but the system complexity increases
Solution Approach 1:
The system segments the energy calculation process into distinct components: road state analysis, environmental factor evaluation, vehicle state monitoring, and route comparison. Each component handles specific aspects of energy consumption calculation, making the overall complex system manageable through modular organization of calculation tasks.
Solution Approach 2:
The control unit acts as an intermediary that integrates data from multiple sources (GPS, road sensors, weather stations, vehicle systems) and translates this complex information into simplified drive mode recommendations. It mediates between the complexity of multiple data streams and the simplicity of the final user interface.
Data Source
AI summary
Disclosed is drive mode guide system for a vehicle provided with a plurality of drive modes. More specifically, a road information storage unit stores information related a road state. A real-time information storage unit receives and stores environmental information in real time. A vehicle information storage unit stores information related to the vehicle. A control unit then extracts a possible-traveling path and a drive mode and an outputs the possible-traveling path. A suggested drive mode received from the control unit based on the information stored in the road information storage unit, the real-time information storage unit, and the vehicle information storage unit.