EV Battery Range Estimation Using Sensor, Weather, and Route Data
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Solution Overview
Problem
Electric vehicles face inaccuracies in battery status and distance-to-empty estimates due to varying environmental conditions and topographic factors, leading to frequent energy depletion during travel.
Innovation Solution
An information provision service system that uses vehicle sensors to collect travel and weather information, combines it with external weather data and topographic information, and analyzes this data to accurately estimate battery consumption and distance-to-empty, providing customized information to drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple battery status estimation methods are used, then the system complexity is low, but the estimation accuracy deteriorates significantly (up to 85% error)
Solution Approach 1:
The patent merges multiple data sources including vehicle sensor information (travel speed, acceleration, engine status), weather information (temperature, humidity, wind), topographic information (slope, curve, road surface), and historical battery consumption data into a unified big data analysis system. This integration of diverse information sources enables accurate battery status estimation while compensating for the complexity through automated data processing algorithms.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting actual battery consumption data and comparing it with estimated values. The differences between estimated and actual consumption are used to refine and update the estimation algorithms over time, improving accuracy through iterative learning from real-world operating conditions.
2Measurement precision
If comprehensive environmental and topographic data collection is implemented, then the estimation accuracy improves, but the data processing complexity and time increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing topographic information, weather data, and historical battery consumption patterns before they are needed for estimation. This advance preparation allows the system to quickly retrieve and process relevant data when battery status estimation is required, reducing real-time processing delays.
Solution Approach 2:
The patent segments the data processing task into distinct modules: vehicle sensor data collection, weather information acquisition, topographic data retrieval, historical data analysis, and estimation calculation. This segmentation allows each module to process specific types of data independently and efficiently, reducing overall processing time through parallel computation.
3Measurement precision
If real-time weather and topographic information are continuously monitored, then the battery consumption estimation accuracy improves, but the energy consumption of the vehicle increases
Solution Approach 1:
The system achieves multi-functionality by using a single integrated platform that simultaneously collects vehicle operational data, weather information, and topographic data for multiple purposes: battery status estimation, distance to empty prediction, route optimization, and charging station location. This universal system avoids redundant data collection and processing, minimizing energy consumption while providing comprehensive estimation services.
4Measurement precision
If detailed driver behavior analysis is incorporated, then customized battery estimation accuracy improves, but the system complexity and computational requirements increase
Solution Approach 1:
The system implements self-service by automatically analyzing driver behavior patterns and adapting estimation algorithms to individual driving styles without requiring manual input or configuration. The system autonomously collects acceleration, braking, and speed data, identifies driving patterns, and customizes battery consumption estimates for each driver, reducing the need for complex manual setup while improving accuracy.
Data Source
AI summary
The present disclosure relates to an information provision service system for an electric vehicle. More particularly, the present disclosure relates to an information provision service system for an electric vehicle using a vehicle sensor, wherein the system estimates a battery status and a distance to empty of an electric vehicle considering weather condition and to information based on a path, and estimates a battery status through an analysis of big data by using travel and weather information measured by a vehicle sensor and weather observation and forecast information from outside, thereby achieving accurate estimation.