Battery Control Module Predicting Current Limits
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Solution Overview
Problem
Battery systems in hybrid electric vehicles face performance limitations due to voltage constraints, which can be mitigated by predicting power delivery limits and synchronizing supplemental power sources with load demands, but existing methods either waste fuel or introduce temporary performance limitations.
Innovation Solution
A battery control module that estimates battery current limits based on preselected voltage specifications and measured voltage and current data, communicating with a master control module to manage power delivery and prevent voltage violations, thereby optimizing power sharing between batteries and internal combustion engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the engine is turned off to save fuel, then fuel consumption is reduced, but vehicle performance is temporarily limited when battery power is insufficient
Solution Approach 1:
The system performs preliminary action by predicting future battery power limits before performance degradation occurs. The controller continuously monitors battery parameters and predicts when power limits will be reached, allowing the engine to be started in advance rather than reactively, thus maintaining performance availability while minimizing fuel consumption.
Solution Approach 2:
The system implements feedback by continuously monitoring battery voltage, current, and temperature, then using this data to update power limit predictions. This closed-loop feedback enables the controller to make informed decisions about engine operation timing, balancing fuel consumption with performance requirements.
2Reliability
If the engine is left idling to ensure immediate power availability, then vehicle performance reliability is maintained, but fuel is wasted continuously
Solution Approach 1:
Instead of continuous idling, the system uses preliminary prediction to determine the precise moment when engine startup becomes necessary. By calculating future power limits based on current battery state and load demands, the system activates the engine only when needed, eliminating continuous fuel waste while maintaining power availability.
Solution Approach 2:
The system transitions from a static idle strategy to a dynamic prediction-based strategy. The engine operation state changes dynamically based on real-time battery conditions and predicted power requirements, allowing the system to adapt between off and running states optimally rather than maintaining a fixed idle state.
3Reliability
If battery current limits are set conservatively to maintain voltage within specifications, then battery health is preserved, but vehicle acceleration performance is limited
Solution Approach 1:
The system applies preliminary action by predicting battery power limits before voltage violations occur. This allows the controller to proactively manage power distribution and coordinate with the engine, enabling higher current draw for acceleration while preventing battery damage through advance intervention rather than conservative limiting.
Solution Approach 2:
The system dynamically adjusts operational parameters based on real-time battery state. By continuously monitoring temperature, voltage, and current, the system can temporarily allow higher current limits when conditions permit, then reduce limits when approaching safety thresholds, optimizing both performance and battery health protection.
Data Source
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AI summary
A battery control module for use with a battery includes a voltage measuring module that measures battery voltage and a current measuring module that measures battery current. A power limit module communicates with the current and voltage measuring modules and once every time period estimates a battery current limit that corresponds with a future time period. The battery current limit is based on a predetermined voltage limit of the battery and a battery current and a battery voltage that correspond with a time period that precedes the future time period.