Vehicle Drive Cycle Profile Generation Using Road Data
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Solution Overview
Problem
Existing methods for generating drive cycle profiles are limited as they require real-time data collection or rely on pre-existing databases, constraining the creation of new profiles to actual vehicle operations and specific routes.
Innovation Solution
A computer-implemented system that generates drive cycle profiles by obtaining vehicle configuration information and road condition data, allowing for the simulation of vehicle travel along planned routes, enabling the creation of profiles for any route, including those not previously traveled.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data logging devices are installed in vehicles to collect drive cycle profiles in real time, then the accuracy and authenticity of the drive cycle data is improved, but the time required to generate new drive cycle profiles increases and the system can only collect data for routes that were actually traveled
Solution Approach 1:
The system pre-collects and stores road condition information, elevation data, and traffic patterns for various routes in advance. When a drive cycle profile is needed, the system quickly retrieves and processes this pre-prepared data combined with vehicle configuration information, eliminating the need for real-time data collection and enabling rapid generation of profiles for any route.
Solution Approach 2:
The system creates simulated drive cycle profiles by copying and adapting data from existing routes and conditions. Instead of requiring actual vehicle operation on every possible route, the system generates representative drive cycle data through simulation based on stored road information and vehicle parameters, allowing rapid profile creation for routes never actually traveled.
2Loss of time
If existing databases of drive cycle profiles are consulted for simulation models, then the time required to obtain drive cycle profiles is reduced, but the system is limited to profiles from routes that were actually traveled
Solution Approach 1:
The system creates a universal drive cycle profile generation capability that works for any route, vehicle type, and road condition combination. By combining stored road information, elevation data, traffic patterns, and vehicle configuration information, the system can generate appropriate drive cycle profiles for any scenario without being limited to pre-collected routes.
Solution Approach 2:
The system varies key parameters such as vehicle configuration information, road conditions, elevation, and traffic patterns to generate diverse drive cycle profiles. By changing these parameters, the system can adapt existing profile templates to create new profiles for different routes and conditions, greatly expanding route coverage without requiring actual travel on every route.
3Adaptability or versatility
If simulated drive cycle profiles are generated using road condition information and vehicle configuration data, then the flexibility and versatility of the system is improved, but the complexity of the data processing system increases
Solution Approach 1:
The system divides the drive cycle profile generation process into separate modular components: road condition information retrieval, elevation data processing, traffic pattern analysis, vehicle configuration processing, and profile synthesis. Each module handles a specific aspect independently, making the overall complex system more manageable and maintainable while enabling flexible generation of profiles for any route.
Data Source
AI summary
A system and method for generating vehicle drive cycles. Information describing a path of travel and a vehicle are received from a user. A detailed representation of the path of travel is obtained. Road condition information for segments of the path of travel is obtained, and the path of travel is verified as being traversable by the described vehicle. This information is used to generate a drive cycle profile, which contains at least the simulated path traversed by the vehicle, the speed of the vehicle along segments of the path, and any ambient conditions taken into account when predicting the speed of the vehicle.