Battery Life Management via State-of-Life Gradient Control
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Solution Overview
Problem
Hybrid vehicle battery packs face challenges in maintaining consistent performance and service life due to varying ambient environmental conditions, which affect battery charge/discharge performance and lifespan, making it difficult to estimate real-time state-of-life and meet performance standards.
Innovation Solution
A method to determine a preferred operating gradient for electrical energy storage devices by establishing a life target based on predetermined metrics such as elapsed service time or vehicle distance traveled, using a control system that normalizes these parameters to manage battery operation and extend service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the battery pack operates at warm temperature, then the battery charge/discharge performance is improved, but the service life of the battery pack is diminished
Solution Approach 1:
The patent implements dynamic temperature management by adjusting fan operation and power distribution based on real-time battery temperature monitoring. The system transitions between different operating modes (cooling, normal operation, warning, error states) depending on temperature thresholds, allowing the battery system to adapt its thermal management strategy to maintain optimal performance while preventing excessive heat damage that would reduce service life.
2Duration of action of stationary object
If the battery pack operates at cold temperature, then the service life of the battery pack is extended, but the battery charge/discharge performance is limited
Solution Approach 1:
The system incorporates self-heating capability through the battery management controller that can activate heating elements or adjust power distribution to warm the battery pack when operating temperatures are too low. This allows the battery system to self-regulate its temperature to optimal operating ranges, improving charge/discharge performance without requiring external thermal management intervention, while still maintaining extended service life through controlled temperature management.
3Device complexity
If ambient environmental conditions are ignored, then the control system complexity is reduced, but the accuracy of battery life estimation is compromised
Solution Approach 1:
The patent incorporates ambient environmental data (temperature, humidity, location) as predetermined inputs that are collected and stored before battery operation begins. This preliminary data collection allows the battery management system to pre-calculate adjusted service life expectations based on environmental conditions, enabling more accurate life estimation without requiring complex real-time environmental sensing and processing during battery operation.
Data Source
AI summary
A method for determining a preferred operating gradient for use in attaining a life objective for an electrical energy storage device is disclosed. A present state-of-life of the electrical energy storage device is provided and a life target for the electrical energy storage device is established as a predetermined limit in a predetermined metric at a predetermined state-of-life of the electrical energy storage device. A state-of-life gradient is then determined with respect to the predetermined metric which converges the state-of-life of the electrical energy storage device to the life target.


