EV Route Guide Battery Temperature Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional route guide apparatuses for electric vehicles do not adequately account for battery temperature, leading to guidance towards road sections difficult to drive due to reduced battery power, especially in cold weather, as they only consider the State of Charge (SoC) without excluding non-travelable links.
Innovation Solution
A route guide apparatus and method that includes sensors to measure ambient and battery temperatures, predicting battery power based on these conditions, and selecting routes with the least total cost of battery consumption energy by considering road information such as gradient and curvature, thereby excluding non-travelable links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If route guidance is based only on State of Charge (SoC) without considering battery temperature, then the route search is simple and fast, but the vehicle may be guided to road sections that are difficult to drive due to reduced battery power in cold weather
Solution Approach 1:
The system performs preliminary prediction of battery power at each link based on battery temperature and State of Charge before route selection. This advance assessment allows the route search to exclude non-traversable links proactively, ensuring reliability without adding complex real-time decision-making during navigation.
Solution Approach 2:
The invention changes the parameters considered in route search from only State of Charge to include both battery temperature and State of Charge. By incorporating temperature as an additional parameter, the system accurately predicts available battery power and identifies traversable links, resolving the contradiction between simple routing and reliable drivability.
2Reliability
If the system excludes non-traversable links based on battery temperature and power prediction, then route reliability improves, but the route search and processing time increases
Solution Approach 1:
The route search process is segmented into distinct phases: first identifying traversable links based on battery power prediction, then performing route search only on those traversable links. This segmentation eliminates unnecessary calculations on non-traversable segments, maintaining fast search times while ensuring route reliability.
Solution Approach 2:
The system performs partial route search by first filtering links based on battery power adequacy, then conducting the full route search algorithm only on the subset of traversable links. This partial approach reduces computational burden and search time compared to evaluating all possible links, while still guaranteeing route traversability.
3Measurement precision
If battery power prediction based on temperature and SoC is performed for each link, then accurate route selection is achieved, but the computational load and processing complexity increases
Solution Approach 1:
The battery manager utilizes existing monitoring data on battery temperature and State of Charge to self-calculate available battery power at each link. This self-service approach leverages data already collected by the battery management system, avoiding the need for additional sensors or complex external predictions, thus maintaining precision while limiting complexity growth.
Solution Approach 2:
Battery power prediction is performed preliminarily for each link before the main route search algorithm executes. By pre-calculating which links are traversable based on temperature and SoC, the system reduces the complexity of the subsequent route search, as the algorithm only needs to operate on pre-filtered traversable links rather than evaluating all possible paths.
Data Source
AI summary
A route guide apparatus and a route guide method for an electric vehicle may include a sensor to measure an ambient temperature of the electric vehicle, a battery manager to monitor a battery temperature, and a processor to perform a route guide by predicting battery power based on at least one of the ambient temperature or the battery temperature, when searching for a traveling route to a destination, and by selecting, as a traveling route, a route which represents the least total cost of battery consumption energy based on the predicted battery power.