Battery Cooling Airflow Estimation Across Multiple Flow Routes
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Solution Overview
Problem
Existing cooling systems for electrical equipment, such as batteries in vehicles, face challenges in accurately assessing cooling performance due to varying pressure losses across multiple distribution routes, leading to lower accuracy in cooling control and delayed detection of abnormal conditions like excessive charging.
Innovation Solution
A cooling apparatus with a medium passage having multiple routes, including selecting and estimating means to determine the degree of cooling based on pressure loss, and control means to regulate supply, allowing for precise cooling control and abnormality detection by estimating temperature differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cooling medium distribution routes are provided, then the cooling system can serve multiple purposes and adapt to different operating conditions, but it becomes impossible to accurately grasp the cooling performance from fan operation information alone due to varying pressure losses
Solution Approach 1:
The patent applies feedback by measuring the actual temperature of the battery and comparing it with the estimated temperature calculated from fan operation and pressure loss data. This temperature difference feedback enables the system to accurately assess cooling performance despite multiple distribution routes, resolving the measurement accuracy issue while maintaining system adaptability
Solution Approach 2:
The patent changes the measurement parameter from fan operation information alone to a combination of fan operation, pressure loss characteristics of each route, and actual battery temperature. This parameter change enables accurate cooling performance assessment across multiple distribution routes by accounting for varying pressure losses in each route
2Manufacturing precision
If cooling control accuracy is improved through multiple parameters, then cooling performance can be optimized, but the device complexity increases due to additional sensors and calculation requirements
Solution Approach 1:
The system uses readily available data (fan operation information, pressure loss characteristics) and existing temperature sensors to perform self-assessment of cooling performance. The control unit calculates estimated temperature and compares it with actual temperature measurements, enabling accurate cooling control without adding complex external measurement systems
Solution Approach 2:
The control unit performs multiple functions: it controls fan operation, calculates estimated battery temperature, compares with actual temperature, and determines cooling performance. This multi-functionality approach improves cooling control accuracy without requiring separate dedicated systems for each function, thereby limiting the increase in device complexity
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
This approach enables accurate grasping of cooling performance and improves the accuracy of cooling control and abnormality detection in electrical equipment, preventing temperature increases and identifying issues like excessive charging or degraded performance.
Implementation Method 1
cooling medium supplied through the medium passage to the electrical equipment
Implementation Method 2
supply means for supplying the cooling medium through the medium passage to the electrical equipment
Implementation Method 3
pressure loss differs route by route
Data Source
AI summary
An HV_ECU executes a program, which includes a step of receiving route information; a step of acquiring a duty command value of a battery cooling blower; a step of calculating a cooling airflow; steps for acquiring a battery temperature and an intake temperature; a step of calculating a value TB−TC; a step of calculating a cooling performance; a step of estimating a battery temperature; and a step of performing fail safe processing when in an abnormal state.