Battery Target Temperature Control for Electric Vehicle Range
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Solution Overview
Problem
The range of electric vehicles is significantly affected by battery temperature fluctuations, leading to inconsistent performance and accelerated aging, particularly in regions with cold temperatures or large temperature swings.
Innovation Solution
Methods and systems are developed to determine a target temperature for rechargeable energy storage systems in electric vehicles by calculating temperature-scaled capacity and considering state of health, balancing conditioning energy with efficiency energy to set a target battery temperature that maximizes range consistency across various climates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If battery temperature is adjusted to optimize capacity, then electric vehicle range is improved, but energy consumption for conditioning increases
Solution Approach 1:
The system dynamically adjusts the target battery temperature based on state of charge thresholds and ambient temperature conditions. By changing the temperature parameter adaptively rather than maintaining a fixed temperature, the system optimizes capacity utilization while reducing unnecessary conditioning energy consumption in moderate temperature ranges.
Solution Approach 2:
The control system continuously monitors battery temperature, state of charge, and ambient conditions, then adjusts the target temperature accordingly. This feedback mechanism ensures that battery conditioning is performed only when necessary to achieve optimal range, avoiding wasteful energy consumption during conditions where range optimization is not critical.
2Stability of the object's composition
If battery temperature is maintained at optimal level, then battery performance consistency is improved, but device complexity increases
Solution Approach 1:
The system transitions from static temperature maintenance to dynamic temperature management. The target temperature is continuously adjusted based on state of charge thresholds and ambient conditions, allowing the system to achieve performance consistency through adaptive control rather than complex continuous regulation infrastructure.
Solution Approach 2:
The temperature management system serves multiple functions: it optimizes range through capacity enhancement, manages battery health through state of charge-dependent conditioning, and adapts to ambient temperature variations. This multi-functionality reduces the need for separate specialized subsystems, thereby limiting complexity growth.
3Productivity
If battery capacity is maximized through temperature conditioning, then electric vehicle range is extended, but time required for conditioning increases
Solution Approach 1:
The system applies partial conditioning action by setting target temperatures based on state of charge thresholds rather than continuously maximizing temperature control. This approach achieves sufficient capacity utilization for range extension without the excessive time investment required for continuous optimal temperature maintenance, particularly in moderate ambient conditions.
Data Source
AI summary
Methods and systems for determining a target temperature and/or adjusting a temperature associated with a battery, such as a vehicle battery. In some implementations of such methods, a temperature-scaled battery capacity of at least a portion of a battery may be determined at a measured temperature. The temperature-scaled battery capacity may be compared with a capacity threshold and, upon determining that the temperature-scaled battery capacity is below the capacity threshold, a target battery temperature for the at least a portion of the battery may be determined and/or set.


