Fuel Cell Vehicle Power Controller Path Gradient Optimization
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Solution Overview
Problem
Current fuel cell vehicles fail to optimally control power by not effectively considering the state of charge (SOC) of the battery and the driving path, leading to inefficient energy management.
Innovation Solution
Divide the expected driving path into sections based on gradient and set these sections as either battery charging/discharging prohibition or allowance sections in advance, using a power controller to manage battery SOC and power usage by comparing predicted variations and power needs against predetermined ranges and limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the fuel cell vehicle controls charging/discharging of the battery based on a momentary driving situation, then the fuel efficiency is improved, but the power control is not optimal because the state of charge (SOC) of the battery and the driving path are not effectively considered
Solution Approach 1:
The system performs preliminary actions by obtaining navigation information about the driving path in advance, predicting battery SOC variation and power requirements for each section before actual driving occurs. This allows the control strategy to be prepared ahead of time, enabling optimal power control that considers both SOC and driving path characteristics rather than reacting to momentary conditions alone
Solution Approach 2:
The driving path is divided into multiple sections based on gradient characteristics (uphill, downhill, flat sections). Each section is analyzed separately for predicted power requirements and SOC variation. This segmentation allows the system to create a detailed, section-by-section power control strategy that optimizes battery usage for each specific driving condition rather than using a single momentary control approach
2Ease of operation
If the driving path is divided into multiple sections and charging/discharging sections are set in advance, then the power control is optimized by considering SOC and driving path, but the control system complexity increases
Solution Approach 1:
The power controller is designed to perform multiple functions: it obtains navigation information, divides the driving path into sections, predicts power requirements for each section, calculates SOC variation, and determines charging/discharging strategies. By consolidating these diverse functions into a single multi-functional controller, the system achieves optimal power control without proportionally increasing overall system complexity
3Device complexity
If the battery charging/discharging is controlled without considering the driving path gradient, then the control system is simpler, but the energy management efficiency is reduced
Solution Approach 1:
The system enables the battery to serve itself optimally by using the predicted power requirements and SOC variation analysis to automatically determine the most efficient charging and discharging sections. The control strategy leverages driving path information to create a self-optimizing energy management system that maximizes fuel efficiency without requiring complex external intervention
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
This approach enhances battery efficiency and lifespan by optimizing charging/discharging operations, thereby improving fuel efficiency of the fuel cell vehicle.
Implementation Method 1
fuel cells generate electrical energy through oxidation-reduction reaction of hydrogen supplied from a hydrogen tank and oxygen supplied from external air
Data Source
AI summary
A method of controlling power of the fuel cell vehicle includes dividing an expected driving path of the fuel cell vehicle into a plurality of sections and setting the plurality of sections according to a gradient, and comparing whether a predicted battery state of charge variation is within a battery charging/discharging allowance range for each of the plurality of divided sections The method further includes comparing predicted power with a predetermined maximum allowance power for each of the plurality of divided sections, and setting the plurality of divided sections as a battery charging/discharging prohibition section and a battery charging/discharging allowance section in advance according to a result of the comparison of the predicted battery state of charge variation and the predicted power.