Distributed DC-DC Converter Control for Cell Balancing and Converter Life
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Solution Overview
Problem
Existing vehicles do not provide optimal control of DC to DC converter systems, leading to suboptimal balancing of cell groups and reduced longevity of converters in rechargeable energy storage systems (RESS).
Innovation Solution
A method and system for controlling a plurality of converters coupled to cells of a RESS, involving the use of sensors to obtain cell and system data, and a processor to control the converters based on this data, ensuring optimal balancing and longevity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing control methods are used for DC to DC converter systems, then the system operation is maintained, but optimal balancing of cell groups is not achieved and converter longevity is reduced
Solution Approach 1:
The control system continuously monitors cell voltage, temperature, and state of charge data from multiple cell groups, and uses this feedback to dynamically adjust converter operation. This closed-loop control enables optimal balancing of cell groups while extending converter longevity through data-driven decision making.
Solution Approach 2:
The system dynamically selects which converters and cell groups to operate based on real-time conditions such as cell state of charge, temperature, and voltage levels. This dynamic adaptation allows the system to optimize balancing performance and converter usage patterns to maximize longevity.
2Power
If multiple converters are operated simultaneously to meet high current demands, then power delivery is improved, but converter longevity is reduced due to increased wear
Solution Approach 1:
The control system implements periodic cycling of converter usage, rotating between available converters based on their individual state of charge and health status. This periodic operation distributes wear across multiple converters while maintaining the required power delivery capability through coordinated switching.
Solution Approach 2:
The system adjusts converter operating parameters such as current magnitude and duty cycle based on real-time monitoring data. By dynamically changing these parameters, the system can deliver required power while reducing stress on individual converters to extend their operational lifespan.
3Stability of the object's composition
If cell balancing is prioritized over power delivery, then cell group balance is improved, but system responsiveness to power demands deteriorates
Solution Approach 1:
The control system applies partial balancing actions during normal operation rather than attempting complete balancing at all times. This allows the system to maintain adequate cell balance while preserving the ability to respond quickly to power demands by using available cell groups without waiting for perfect balance conditions.
Data Source
AI summary
In an embodiment, a method is provided for controlling a plurality of converters that are coupled to a plurality of cells of a rechargeable energy storage system (RESS) and configured to supply electric current to other systems that require the electric current, the method including obtaining, via one or more sensors, cell data as to the plurality of cells, the cell data including a state-of-charge for each of the plurality of cells; obtaining other system data as to the other systems, including an amount of electric current required by the other systems; and controlling the plurality of converters, in accordance with instructions provided by a processor, based on both: the cell data, including the state-of-charge for each of the plurality of cells; and the other system data, including the amount of electric current by the other systems.