Vehicle Battery Preconditioning for Predictive Charging Temperature Control
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Solution Overview
Problem
Eco-friendly vehicle batteries experience reduced charging efficiency and durability due to temperature variations, leading to energy waste and prolonged charging times.
Innovation Solution
A system and method that adjusts battery temperature based on driver intention, battery condition, and driving information using a thermal management system, processors, and data generators to achieve precise conditioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If battery temperature is adjusted to optimal range before charging, then charging efficiency is improved, but energy consumption increases due to heating or cooling operations
Solution Approach 1:
The system performs preliminary battery temperature conditioning before charging by analyzing driver intention through multiple data sources (charging history, destination information, battery state) and adjusting temperature in advance. This prevents energy waste during charging and improves charging efficiency by ensuring optimal temperature conditions are met beforehand.
Solution Approach 2:
The system uses the vehicle's existing thermal management infrastructure and waste heat from the engine or motor to condition the battery temperature. By utilizing already-generated thermal energy for battery conditioning, the system reduces additional energy consumption while maintaining charging efficiency.
2Device complexity
If battery temperature conditioning is performed based on simple driver input, then system complexity is reduced, but charging intention prediction accuracy deteriorates
Solution Approach 1:
The system integrates multiple data collection and analysis functions into the existing vehicle control unit. The same processor that handles vehicle operation also analyzes charging intention by processing diverse data types (charging history, navigation destination, battery state, driving patterns), eliminating the need for separate dedicated hardware while improving prediction accuracy.
Solution Approach 2:
The system continuously monitors actual charging behavior and compares it with predicted charging intention. This feedback loop allows the system to refine its prediction algorithm over time, improving accuracy without increasing hardware complexity. The learned patterns from historical data are reused to enhance future predictions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances charging efficiency, reduces energy waste, and maintains battery durability by optimizing temperature control before charging.
Implementation Method 1
controlling, based on the target temperature, a temperature controller to cool or heat the vehicle battery
Implementation Method 2
controlling, based on the target temperature, a temperature controller to cool or heat the vehicle battery
Data Source
AI summary
A system and a method for conditioning a vehicle battery are proposed. The system for conditioning a vehicle battery May include a temperature controller configured to adjust a temperature of the vehicle battery, and one or more processors configured to obtain determination factor data. The determination factor data may include vehicle condition data and/or driving information data. The one or more processors May be further configured to determine a target temperature of the battery based on the determination factor data, and control the temperature controller to adjust the vehicle battery to the target temperature.