Battery Management Control With Dynamic Sensing and Transmission Power
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Solution Overview
Problem
Existing battery management systems in electric vehicles inefficiently manage power consumption, particularly in low state of charge scenarios and wireless communication, leading to unnecessary energy drain and increased module replacement costs.
Innovation Solution
A battery management apparatus and method that actively adjusts sensing cycle and transmission power based on motor operation state and battery charge, using fuzzy logic to optimize power usage by applying weights to these conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sensing cycle is shortened to monitor battery state more frequently, then battery safety and reliability are improved, but power consumption increases
Solution Approach 1:
The sensing cycle is made dynamic rather than fixed. The controller adjusts the sensing cycle based on real-time battery state (charge level, temperature, load conditions). When battery state is stable, the sensing cycle is extended to reduce power consumption. When battery state changes rapidly or reaches critical thresholds, the sensing cycle is shortened to improve safety monitoring. This dynamic adjustment resolves the contradiction between reliability and power consumption.
Solution Approach 2:
The patent changes the parameter of sensing cycle duration based on operating conditions. Multiple sensing cycle configurations are defined (e.g., normal cycle, reduced cycle, extended cycle) that are selected based on battery state of charge, temperature, and load conditions. This parameter adaptation allows the system to maintain adequate safety monitoring while minimizing unnecessary power consumption during stable operating periods.
2Reliability
If wireless transmission power is increased to minimize data loss, then communication reliability is improved, but battery power consumption increases
Solution Approach 1:
The wireless transmission power is adjusted dynamically based on communication conditions and battery state. The controller evaluates factors such as signal quality, data priority, and remaining battery charge to determine appropriate transmission power levels. For non-critical data during low battery states, transmission power is reduced or transmissions are deferred. For critical safety-related data, adequate power is maintained to ensure reliable communication. This dynamic power adjustment resolves the contradiction between communication reliability and power consumption.
3Measurement precision
If the battery management system operates continuously with high sensing frequency, then battery state monitoring accuracy is improved, but power consumption increases
Solution Approach 1:
The system applies partial monitoring action based on operational needs rather than continuous full-scale monitoring. During normal operating conditions with stable battery parameters, the sensing frequency is reduced to a lower level that still provides adequate monitoring. During transient conditions, high load changes, or when battery parameters approach thresholds, the sensing frequency is increased to provide excessive monitoring accuracy. This selective application of monitoring intensity resolves the contradiction between measurement precision and power consumption.
Data Source
AI summary
A battery management apparatus according to an embodiment of the present invention may include a battery controller for receiving the operation state of a motor detected and detecting the state of charge of a battery, and a condition controller for applying a weight to at least one of the operation state of the motor and the state of charge of the battery to adjust operation conditions of the battery controller and allowing the battery controller to operate on the basis of the adjusted operation conditions.