Controller for Multi-Pack EV Energy Delivery
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Solution Overview
Problem
The management of multiple rechargeable packs with different capacities in electric vehicles poses challenges in optimizing energy delivery, as existing systems struggle to determine the optimal timing and method for charging and discharging these packs efficiently.
Innovation Solution
A controller system that selectively manages the discharging and charging of multiple rechargeable packs by determining the state of charge and employing different discharge modes based on user input, driving models, and energy requirements, ensuring optimal energy delivery and cost optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If multiple rechargeable packs with different capacities are used to extend operating duration, then the duration of action is improved, but the device complexity increases due to multiple packs with different capacities requiring coordinated management
Solution Approach 1:
The energy storage system is segmented into multiple rechargeable packs with different capacities (primary pack with larger capacity and auxiliary pack with smaller capacity). Each pack can be independently managed and controlled, allowing the system to extend operating duration while maintaining manageable complexity through modular segmentation.
Solution Approach 2:
The controller dynamically switches between different discharge modes (first discharge mode and second discharge mode) based on real-time state of charge levels of the primary and auxiliary packs. This dynamic adaptation allows optimal energy delivery while simplifying management by using standardized control logic that adjusts to current system state.
2Productivity
If multiple discharge modes are employed to optimize energy delivery, then the productivity is improved, but the device complexity increases due to multiple control modes and thresholds
Solution Approach 1:
The system employs dynamic switching between first discharge mode and second discharge mode based on real-time state of charge thresholds. The controller continuously monitors SOC levels and automatically transitions between control modes to optimize energy delivery, achieving high productivity through adaptive control rather than fixed complex logic.
Solution Approach 2:
The controller uses feedback from state of charge measurements to determine which discharge mode to employ. By continuously monitoring the SOC of both primary and auxiliary packs and comparing against predefined thresholds, the system optimizes energy delivery through simple feedback-based decision making rather than complex predictive control.
3Reliability
If the state of charge is continuously monitored and managed across multiple packs, then the reliability is improved, but the measurement precision requirements increase
Solution Approach 1:
The system segments SOC monitoring into separate measurements for the primary pack and auxiliary pack, each with its own threshold levels. This segmented monitoring approach improves reliability by independently tracking each pack's state while reducing the overall measurement precision requirement compared to needing highly precise unified control across different capacity packs.
Solution Approach 2:
The system uses parameter changes in state of charge thresholds to trigger mode transitions. By defining specific SOC thresholds (e.g., when primary pack SOC reaches certain levels), the system achieves reliable energy management through parameter-based control rather than requiring continuous high-precision measurement and control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively optimizes energy delivery by coordinating the discharge and charge of packs based on user inputs and driving conditions, extending the life of energy storage units and reducing charging costs, thereby enhancing the overall performance and efficiency of electric vehicles.
Implementation Method 1
multiple rechargeable packs with at least two different capacities... at least one primary pack characterized by a first capacity and at least one auxiliary pack characterized by a second capacity
Data Source
AI summary
System and method of controlling operation of a device having multiple rechargeable packs configured to store energy. The multiple rechargeable packs include at least one primary pack characterized by a first capacity and at least one auxiliary pack characterized by a second capacity, the first capacity being greater than the second capacity. A controller is configured to selectively command one or more of the multiple rechargeable packs to begin at least one of discharging and charging. When an estimated end of trip time is less than or equal to a discharging time of the at least one auxiliary pack, the discharging of the at least one auxiliary pack is begun. When the estimated end of trip time is greater than the discharging time, the discharging is delayed until the respective state of charge of the at least one primary pack reaches a first threshold.