Vehicle Control Device Battery Replacement Detection
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Solution Overview
Problem
Existing vehicle control systems restrict automatic driving when battery temperature estimation errors are high after replacement, leading to decreased user convenience due to inaccurate determination of battery capacity degradation.
Innovation Solution
A vehicle control device with a processor that detects battery mounting and uses battery information excluding estimation values until a predetermined time elapses, performing discharge tests to determine automatic driving restrictions, and gradually incorporates estimation values to ensure accurate battery state assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic driving is restricted based on battery temperature estimation values after battery replacement, then determination accuracy of battery capacity degradation is improved, but user convenience deteriorates due to unnecessary restrictions
Solution Approach 1:
The system performs preliminary actions by detecting battery replacement and temporarily suspending estimation value-based restrictions before a predetermined time elapses. This preliminary action prevents inaccurate restrictions from being applied immediately after battery replacement, thereby maintaining user convenience while avoiding false positives in battery capacity degradation determination.
Solution Approach 2:
The system dynamically adjusts its determination method based on the temporal state after battery replacement. Immediately after replacement, it uses only non-estimation information for a predetermined period, then transitions to using both estimation and non-estimation information. This dynamic adjustment resolves the contradiction by adapting the determination accuracy requirements to the specific operational context.
2Productivity
If battery temperature estimation values are used immediately after battery replacement, then automatic driving availability is improved, but determination accuracy of battery state deteriorates due to learning information reset
Solution Approach 1:
The system takes preliminary action by pre-detecting battery replacement events and pre-establishing a temporary period during which estimation values are excluded from determination. This ensures that inaccurate estimation values do not compromise battery state determination accuracy during the critical initial period after replacement, while still allowing automatic driving to proceed based on non-estimation information.
Solution Approach 2:
The system introduces time as an intermediary parameter to mediate between automatic driving availability and determination accuracy. By using the elapsed time since battery replacement as a gating condition, the system selectively applies different determination methods at different time points, thereby balancing the competing requirements of availability and accuracy.
3Measurement precision
If learning process is performed to estimate battery liquid temperature from temperature sensor data, then temperature measurement accuracy is improved, but reliability of automatic driving control deteriorates after battery replacement due to increased estimation error
Solution Approach 1:
The system performs preliminary detection of battery replacement and proactively disables the use of learning-based temperature estimation during the initial period after replacement. This preliminary action prevents unreliable temperature measurements from compromising the reliability of automatic driving control, while still maintaining temperature monitoring capability through non-estimation methods.
Solution Approach 2:
The system changes the parameter of temperature information source based on the operational state. After battery replacement, it switches from using learning-based estimation values to using only direct temperature sensor readings or other non-estimation temperature information for a predetermined period. This parameter change ensures reliability by using only verified temperature data when the learning model is known to be inaccurate.
Data Source
AI summary
When replacement of a battery is detected, an automatic driving executability determination unit determines whether the battery is in a low capacity state until a predetermined time elapses, using battery information (battery charge amount, discharge performance) excluding an estimation value of a temperature of the battery, and restricts automatic driving according to such a determination result.