Vehicle Program Rewriting System Battery State Prediction
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Solution Overview
Problem
Existing vehicular program rewriting systems face challenges in ensuring reliable vehicle restarts after program updates, particularly when the remaining battery energy is marginally sufficient, leading to potential engine or drive source failure.
Innovation Solution
A vehicular program rewriting system that predicts the battery state after the program update based on initial conditions and expected processing time, ensuring the battery meets a condition for vehicle restart, and adjusts this condition according to ambient temperature, engine coolant water temperature, and internal battery resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the program rewriting is performed when the remaining stored energy level is only slightly greater than the predicted consumed electric energy, then the program rewriting can be completed with minimal battery energy, but the vehicle cannot be restarted due to insufficient electric power
Solution Approach 1:
The system performs preliminary prediction of the battery's charged state after program rewriting before actually executing the rewriting operation. By calculating the predicted charged state based on current battery parameters and expected processing time, the system determines in advance whether the vehicle will be able to restart, thus preventing rewriting operations that would leave insufficient power for restart
Solution Approach 2:
The system continuously monitors battery parameters (voltage, temperature, internal resistance) and uses this feedback to dynamically adjust the rewriting decision. The predicted charged state calculation incorporates real-time battery status, creating a closed-loop control system that ensures restart capability is maintained throughout the rewriting process
2Device complexity
If the rewriting decision is based only on voltage and temperature without considering internal resistance, then the judgment process is simple, but the accuracy of predicting battery state is insufficient
Solution Approach 1:
The system expands the set of monitored battery parameters from traditional voltage and temperature measurements to include internal resistance measurements. By incorporating internal resistance as an additional parameter, the predicted charged state calculation becomes more accurate, allowing for better prediction of actual battery capacity and restart capability
Data Source
AI summary
A rewriting apparatus of a vehicle program rewriting system predicts, on the basis of both a state of a battery at the time of starting rewriting the programs of ECUs and a scheduled process time period of rewiring the programs, a state of the battery after rewriting the programs, and executes rewriting the programs if the predicted state of the battery satisfies a condition on which the vehicle can be restarted.