Hybrid Vehicle Driving Load Calculation with Weather Resistance
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Solution Overview
Problem
Current methods for predicting driving load in hybrid electric vehicles do not accurately consider weather conditions, leading to inefficient mode switching and fuel consumption, as they primarily focus on rolling resistance, air resistance, and gradient resistance without accounting for changes due to weather like rain or snow.
Innovation Solution
A method and system for calculating driving load that incorporates weather information to determine additional loads on a vehicle's upper and front surfaces, summing these loads with general driving loads to provide a more accurate total driving load, which is then used for adaptive mode switching and coasting driving guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If mode switching is performed based on only a SoC value without considering driving load, then the control logic is simple, but efficiency is degraded depending on route and weather conditions
Solution Approach 1:
The system performs preliminary calculation of driving load by acquiring weather information and calculating resistance forces before mode switching decisions are made. This allows the control unit to proactively determine optimal modes based on predicted driving conditions rather than reactively responding to SoC changes alone.
Solution Approach 2:
The system implements feedback by continuously monitoring weather conditions, calculating their impact on driving load, and using this information to dynamically adjust mode switching decisions. The control unit receives feedback from weather information acquisition and driving load calculation units to optimize powertrain mode selection.
2Measurement precision
If weather information is acquired and driving load is calculated considering weather conditions, then driving load prediction accuracy is improved, but the calculation complexity increases
Solution Approach 1:
The driving load calculation is segmented into distinct components: basic resistance force calculation and weather-related resistance force calculation. The weather-related component is further divided into upper surface portion and front surface portion calculations. This segmentation allows for systematic and manageable complexity while maintaining comprehensive accuracy.
Solution Approach 2:
The system applies local quality by calculating weather-related resistance forces for specific portions of the vehicle (upper surface and front surface) rather than treating the vehicle as a uniform whole. This allows targeted consideration of weather impacts on different vehicle surfaces exposed to rain or snow.
Data Source
AI summary
A vehicle and a method of calculating a load therefor for calculating a driving load based on a weather condition are provided. The method includes acquiring weather information regarding rain or snow and calculating a first driving load applied to an upper surface portion of the vehicle based on the weather information. A second driving load applied to a front surface portion of the vehicle is calculated based on the weather information and a third driving load that is a driving load due to weather is calculated by summing the first driving load and the second driving load.


