Modular Fuel Cell Power Apportionment for Isolated Parallel Systems
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Solution Overview
Problem
Existing fuel cell systems for vehicles face challenges in mass production and optimization due to the complexity of power distribution between parallel systems, leading to inefficiencies, reduced durability, and compromised drivability, as high voltage portions are electrically isolated, making it difficult to balance power draw and maintain optimal performance across different modules.
Innovation Solution
A modular vehicle system with an electrical control unit that apportions power between parallel systems based on individual states, ensuring balanced power distribution, maintaining battery charge, and optimizing torque and power requests to enhance efficiency, durability, and drivability by diverting power between systems to meet torque demands and avoid inefficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If power is distributed between parallel fuel cell systems without individual state monitoring, then the system structure remains simple, but power distribution becomes unbalanced leading to reduced efficiency and durability
Solution Approach 1:
The control system continuously monitors individual states of each parallel fuel cell system including voltage, current, temperature, and stack hours, and uses this feedback to dynamically adjust power distribution. This ensures optimal power allocation that prevents overloading individual systems while maintaining overall system efficiency.
Solution Approach 2:
The power distribution strategy transitions from static to dynamic control, where the control system adapts power allocation in real-time based on changing operational conditions, individual system states, and load demands. This dynamic adjustment optimizes efficiency while accounting for the unique state of each parallel system.
2Ease of operation
If parallel systems operate independently without power apportionment control, then system operation is simplified, but torque demand fulfillment becomes compromised and drivability decreases
Solution Approach 1:
The control system serves multiple functions simultaneously: it monitors individual system states, calculates optimal power distribution, manages battery charging/discharging, and ensures torque demand fulfillment. This multi-functional approach maintains operational simplicity from the user perspective while internally optimizing performance and reliability.
Solution Approach 2:
The control system acts as an intermediary between the parallel fuel cell systems and the torque demand requirements, mediating power distribution to ensure that torque demands are met while individual systems operate within their optimal ranges. This intermediary function reconciles the simplicity of independent operation with the need for coordinated torque fulfillment.
3Device complexity
If battery charge is not actively managed in parallel systems, then power management is simpler, but battery life and system durability are reduced
Solution Approach 1:
The control system proactively manages battery charge states by anticipating power needs and pre-charging or pre-discharging batteries optimally. This preliminary action prevents deep discharge cycles and excessive charge states that would reduce battery life, while maintaining smooth power delivery without requiring complex real-time intervention.
Solution Approach 2:
The system continuously monitors battery state of charge, temperature, and cycle history, using this feedback to adjust power distribution strategies. This feedback mechanism ensures batteries operate within optimal charge ranges, preventing degradation from extreme charge states while maintaining simple overall power management from the user perspective.
4Device complexity
If power distribution does not account for individual system states, then control logic is simpler, but system durability and performance optimization are compromised
Solution Approach 1:
The control logic monitors and responds to changes in individual system parameters such as voltage, current, temperature, and stack hours. By detecting these parameter changes, the system dynamically adjusts power distribution to maintain optimal operating conditions for each parallel system, thereby extending durability without requiring overly complex control algorithms.
Solution Approach 2:
The control system applies differentiated power distribution strategies tailored to the specific state of each parallel system. Instead of uniform control, each system receives customized power allocation based on its individual characteristics and real-time conditions, optimizing durability and performance while keeping control logic manageable through modular implementation.
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 achieves improved fuel efficiency, extended battery life, and better durability by maintaining balanced power draw and torque distribution, optimizing power usage across parallel systems, and ensuring drivability and safety standards are met.
Implementation Method 1
a first parallel system power generation module coupled to the motor to drive the first motor
Implementation Method 2
The first parallel system may include a first battery that may be used to supplement or replace the first fuel cell
Data Source
AI summary
Systems and methods are provided for modularizing a system. Parallel power systems having electronically isolated high voltage systems facilitate modulization. A control system is provided that optimizes the distribution of a power demand and/or a torque request so as to keep the efficiency, durability, drivability and/or safety of the system within an optimum range. In some cases, the distribution of power is uneven, so as to extend the battery life, while in other cases, the power draw on battery systems are kept equal and constant so as to properly manage the state of charge of the parallel power systems. In still other cases, the chosen power distribution keeps the power demand and/or torque request between minimum and maximum levels/capacity, and the power distribution avoids on/off of an individual power system.