EV Route Prediction for Heating Power in Standstill Traffic
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Solution Overview
Problem
Existing systems for predicting the risk of a vehicle becoming stranded in standstill traffic due to weather conditions, such as heavy snowfall, are insufficient in accuracy and user interpretation, leading to inadequate preparation for potential power shortages in electric vehicles.
Innovation Solution
An information processing apparatus using AI models to predict standstill sections and times, calculate heating power consumption, and determine if additional battery charging is needed, presenting alternative travel plans to avoid or mitigate power shortages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If air conditioning is performed during standstill traffic, then cabin comfort is maintained, but battery power is depleted faster
Solution Approach 1:
The system performs preliminary actions by predicting standstill sections and calculating required heating power consumption before the vehicle reaches them. It determines whether additional charging is needed in advance, allowing the vehicle to prepare for power consumption demands during standstill traffic by securing sufficient battery charge before entering predicted standstill sections.
2Reliability
If existing risk prediction systems are used, then some standstill risk is identified, but prediction accuracy is insufficient
Solution Approach 1:
The system incorporates feedback by comparing predicted standstill sections with actual vehicle operation data and weather conditions. It uses multiple data sources including weather information, map data, and vehicle sensor data to continuously refine predictions, improving both reliability and precision of standstill risk assessment.
Solution Approach 2:
The system performs preliminary prediction of standstill sections using weather forecasts and historical data before the vehicle encounters actual standstill conditions. This advance prediction allows for more accurate assessment by incorporating multiple variables including predicted weather conditions, route characteristics, and traffic patterns.
3Temperature
If heating is operated during standstill, then cabin warmth is maintained, but battery charge is depleted
Solution Approach 1:
The system calculates the heating power consumption required during predicted standstill sections and determines whether additional charging is needed before the vehicle reaches these sections. This preliminary calculation and charging decision ensures sufficient battery charge is available for heating operations without depleting the battery.
Solution Approach 2:
The system enables the vehicle to self-assess its power needs by calculating required heating consumption during standstill and automatically determining charging requirements. The vehicle serves itself by making intelligent decisions about power management and charging needs based on predicted conditions.
Data Source
AI summary
An information processing apparatus includes one or more processors and one or more storage media storing a program. The program includes one or more instructions that cause the one or more processors to execute acquiring information on a current location of a vehicle and a destination of the vehicle; acquiring one or more scheduled travel routes for reaching the destination from the current location; acquiring current weather information; predicting a standstill section in which a standstill situation is likely to occur on the one or more scheduled travel routes; predicting a standstill time during which a standstill situation occurs in the predicted standstill section; calculating heating power consumption due to use of heating over the predicted standstill time; performing a determination as to whether to additionally charge a traveling battery of the vehicle in accordance with the heating power consumption; and presenting information corresponding to a result of the determination.