Fuel Cell Output Prediction Device for Vehicle Dynamics and HVAC
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Solution Overview
Problem
Existing fuel cell output prediction techniques fail to accurately account for vehicle travel dynamics and air-conditioning device power consumption, leading to incomplete information and potential inaccuracies in fuel cell output prediction.
Innovation Solution
An output prediction device and method that acquires and calculates the required fuel cell output based on predicted vehicle speed or acceleration and air-conditioning device requirements, using a combination of onboard and server-based data to estimate the fuel cell's output on a scheduled traveling route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only scheduled traveling route, altitude information and regulation speed information are used for prediction, then the prediction system is simple, but the output prediction accuracy is insufficient
Solution Approach 1:
The patent combines multiple information sources (scheduled traveling route, altitude information, regulation speed information, predicted vehicle speed, and air-conditioning device information) into a unified prediction system. This merging of diverse data sources enables comprehensive calculation of the fuel cell's required output, thereby improving prediction accuracy while maintaining system manageability through integrated processing.
Solution Approach 2:
The system performs preliminary acquisition of predicted vehicle speed and air-conditioning device information before calculating the fuel cell's required output. By preparing these data elements in advance, the system can comprehensively assess both vehicle dynamics and air-conditioning demands, leading to more accurate output predictions without requiring complex real-time adjustments.
2Measurement precision
If predicted vehicle speed and air-conditioning device information are acquired and calculated, then the output prediction accuracy is improved, but the information processing complexity increases
Solution Approach 1:
The prediction system is segmented into distinct functional modules: a first acquisition unit for obtaining predicted vehicle speed, a second acquisition unit for obtaining air-conditioning device information, and a calculation unit for integrating these data. This segmentation allows each module to handle specific tasks independently, simplifying the overall information processing complexity while maintaining comprehensive prediction accuracy.
3Reliability
If comprehensive information including air-conditioning device is considered, then the energy management reliability is improved, but the data acquisition complexity increases
Solution Approach 1:
The calculation unit is designed with multi-functionality, capable of processing both vehicle dynamics information (predicted vehicle speed, acceleration) and air-conditioning device information within a single integrated framework. This universal processing capability enables comprehensive energy management reliability without requiring separate complex acquisition systems for each data type.
Data Source
AI summary
An output prediction device for a fuel cell includes: a first acquisition circuitry configured to acquire a first required output of the fuel cell, the first required output being calculated based on a predicted vehicle speed or a predicted acceleration of a vehicle on a scheduled traveling route for the vehicle, the vehicle traveling by using the fuel cell as a dynamic power source; a second acquisition circuitry configured to acquire a second required output of the fuel cell, the second required output being required by an air-conditioning device of the vehicle; and a calculation circuitry configured to calculate a parameter correlated with a predicted output value of the fuel cell, based on the first required output and the second required output, the predicted output value being predicted as an output on the scheduled traveling route.