Wireless Battery Management System Sleep Mode Balancing
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Solution Overview
Problem
Existing wireless battery management systems face challenges in efficiently balancing battery modules while minimizing energy consumption, leading to residual capacity deviations between battery modules in sleep mode.
Innovation Solution
A wireless battery management system where slave BMSs in sleep mode can simultaneously scan wakeup commands and balance battery modules using electrical energy from the battery modules, with a master BMS setting scan cycles and durations based on state of charge (SOC) and wirelessly transmitting control signals for balancing, allowing for reduced energy consumption and rapid balancing without additional circuitry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If slave BMSs operate in sleep mode to reduce energy consumption, then energy efficiency is improved, but residual capacity deviation between battery modules increases
Solution Approach 1:
The slave BMS periodically wakes up from sleep mode to perform balancing operations and then returns to sleep mode. This periodic activation allows the system to maintain battery module balance while minimizing energy consumption during sleep periods, directly resolving the contradiction between energy efficiency and capacity deviation.
Solution Approach 2:
The slave BMS uses its own battery module's electrical energy to perform balancing operations without requiring external power sources or additional energy from other modules. This self-service approach allows balancing to occur while maintaining overall system energy efficiency, as the energy is drawn from the battery module itself rather than increasing total system consumption.
2Reliability
If slave BMSs perform balancing operations continuously in active mode, then residual capacity deviation is reduced, but energy consumption increases
Solution Approach 1:
Instead of continuous operation, the slave BMS performs balancing operations periodically by waking up at scheduled intervals and then returning to sleep mode. This approach maintains battery balance effectiveness while dramatically reducing energy consumption compared to continuous active mode operation.
Solution Approach 2:
The system dynamically changes the operational state parameter of the slave BMS between active and sleep modes based on balancing requirements. By adjusting the timing and duration of wake-up periods, the system optimizes the balance between maintaining capacity uniformity and minimizing energy consumption.
3Speed
If slave BMSs wake up frequently to check for wakeup commands, then response time is improved, but energy consumption increases
Solution Approach 1:
The slave BMS checks for wakeup commands at periodic intervals rather than continuously monitoring. This periodic checking mechanism ensures the system responds to wakeup commands in a timely manner while consuming minimal energy during sleep mode, resolving the contradiction between response speed and energy efficiency.
4Manufacturing precision
If additional circuitry is added for balancing, then balancing precision is improved, but device complexity increases
Solution Approach 1:
The slave BMS is designed to perform multiple functions including monitoring, balancing, and wireless communication using existing circuitry. By making the slave BMS multi-functional rather than adding separate dedicated balancing circuitry, the system achieves precise balancing control while avoiding increased device complexity.
Solution Approach 2:
The slave BMS uses its own electrical energy and existing power management circuits to perform balancing operations without requiring additional external power circuitry or complex balancing hardware. This self-service approach enables precise balancing while maintaining simple system architecture.
Data Source
AI summary
A wireless battery management system includes a plurality of slave BMSs coupled to a plurality of battery modules in one-to-one correspondence. Each slave BMS is configured to operate in active mode and sleep mode. Each slave BMS is configured to wirelessly transmit a detection signal indicating a state of the battery module. The wireless battery management system further includes a master BMS configured to wirelessly receive the detection signal from each of the plurality of slave BMSs. The master BMS is configured to set a scan cycle and a scan duration for each of the plurality of slave BMSs based on the detection signal, and wirelessly transmit a control signal to the plurality of slave BMSs. The control signal includes a wireless balancing command indicating the scan cycle and the scan duration set for each of the plurality of slave BMSs.