Vehicle Battery State of Charge Control via Navigation Temperature Prediction
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Solution Overview
Problem
Existing methods for controlling a vehicle battery's state of charge to ensure startability are inadequate as they fail to account for future temperature changes, leading to late reactions to falling temperatures and potential loss of startability due to insufficient charging.
Innovation Solution
The method incorporates navigation system data to predict battery temperatures, considering future positions and routes to determine a lower state-of-charge limit and adjust the battery charge accordingly, ensuring timely adaptation to temperature changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the state of charge is increased in advance to account for forecast low temperatures, then the startability is improved, but the charging opportunity is lost when the vehicle is already parked
Solution Approach 1:
The system performs preliminary charging actions based on predicted future temperature conditions and navigation data. By analyzing the planned route and forecast temperatures at upcoming locations, the system proactively increases the state of charge before the vehicle arrives at cold locations, ensuring startability without waiting for the vehicle to be parked at the destination.
Solution Approach 2:
The state of charge limit is made dynamic rather than static. Instead of using a fixed lower state-of-charge limit, the system continuously adjusts the required state of charge based on real-time navigation data, predicted route, and forecast temperature conditions. This dynamic adjustment allows the system to optimize charging requirements based on actual future temperature conditions along the planned route.
2Reliability
If the lowest temperature during parking time and travel is used for risk assessment, then the startability is ensured, but future temperature evolution is not taken into account
Solution Approach 1:
The system performs preliminary temperature predictions for future locations along the planned route using navigation data and weather forecasts. By predicting temperatures at upcoming destinations and intermediate locations, the system identifies future cold conditions in advance and prepares adequate charge levels before the vehicle arrives at those locations.
Solution Approach 2:
The system introduces navigation data and weather forecast services as intermediary information sources. These intermediaries provide future temperature evolution data along the planned route, which is then integrated with the state of charge control logic to make informed decisions about charging requirements.
3Loss of time
If navigation system data are integrated into battery-temperature prediction, then the charging can be timed correctly, but the device complexity increases
Solution Approach 1:
The control unit is designed to perform multiple functions: it manages battery state of charge control, processes navigation data, retrieves weather forecasts, and performs temperature predictions. By making the control unit multi-functional, the system integrates navigation and weather data processing into the existing battery management infrastructure, avoiding the need for separate dedicated systems and reducing overall complexity.
Data Source
AI summary
A method is provided for controlling a state of charge of a vehicle battery in order to ensure the starting capability of the vehicle. A battery temperature prediction for the vehicle battery is determined and the battery temperature prediction is used to determine a lower state-of-charge limit of the vehicle battery. The amount of charge in the vehicle battery is controlled in such a way that the state of charge of the battery at least does not fall below the lower state-of-charge limit. Data of a navigation system integrated in the vehicle or coupled to the vehicle are taken into account in the determination of the battery temperature prediction.