Hybrid Drive Control System for Accurate Fuel Consumption Calculation
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Solution Overview
Problem
Existing hybrid vehicle systems face reduced accuracy in energy efficiency calculations due to the lack of consideration for fuel consumption during electric power generation, which affects the optimal distribution of motive power between the engine and motor-generator, leading to suboptimal fuel consumption.
Innovation Solution
A drive control system that calculates separate fuel consumptions for the engine and motor-generator, including the fuel used for electric power generation and storage, to accurately determine the distribution of motive power between the two sources, thereby optimizing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing system calculates fuel consumption without considering the fuel used for electric power generation, then the calculation process is simple, but the accuracy of energy efficiency calculation is reduced
Solution Approach 1:
The fuel consumption calculation is segmented into two distinct components: (1) fuel consumption for direct engine driving, and (2) fuel consumption for electric power generation that charges the battery. This segmentation allows each component to be calculated separately and then combined, improving overall calculation accuracy while maintaining manageable system complexity through modular calculation steps.
Solution Approach 2:
The battery serves as an intermediary element that links the fuel consumption calculation to the motor-assisted driving calculation. By tracking the battery's charge state and the fuel consumed to generate charging power, the system mediates between engine operation and motor assistance, enabling accurate attribution of fuel consumption to each driving mode.
2Ease of operation
If the system does not account for fuel consumption during power generation, then the control system is simpler to operate, but the distribution of motive power between engine and motor is suboptimal
Solution Approach 1:
The system implements feedback by continuously monitoring the battery's state of charge and using this information to adjust the calculation of fuel consumption. The calculated fuel consumption values feed back into the control logic to determine optimal mode selection and power distribution, creating a closed-loop system that improves efficiency while maintaining ease of operation through automated control.
Solution Approach 2:
The system dynamically changes operational parameters based on battery state. When the battery is charged, the system recognizes that fuel consumed by the engine for power generation should be attributed to motor-assisted driving rather than pure engine driving. This parameter change in calculation methodology optimizes motive power distribution without requiring complex manual intervention.
3Loss of energy
If the system accurately calculates fuel consumption including power generation, then energy efficiency is optimized, but the calculation requires more processing steps
Solution Approach 1:
The system performs preliminary calculation of fuel consumption for electric power generation separately before combining it with direct engine fuel consumption. By pre-calculating the fuel required to generate a specific amount of electric power and store it in the battery, the system prepares this data in advance for use in motor-assisted driving calculations, reducing the need for complex real-time computations.
Solution Approach 2:
The system merges two previously separate calculation processes into a unified fuel consumption model: (1) fuel consumption for direct engine driving, and (2) fuel consumption for power generation that indirectly powers the motor. By combining these calculations and attributing them to the appropriate driving mode, the system achieves comprehensive energy efficiency optimization without creating an overly complex calculation framework.
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 improves the accuracy of fuel consumption calculations, allowing for optimal distribution of power between the engine and motor-generator, resulting in enhanced energy efficiency and reduced fuel consumption.
Implementation Method 1
an electric generator for generating electric power by being driven by the engine
Implementation Method 2
a battery for storing electric energy. The electric power generated by the generator and the electric power regenerated by the motor-generator cause electric energy to be stored in the battery
Implementation Method 3
an electric motor-generator as motive power sources, at least one of which drives it
Data Source
AI summary
In a drive control system for a hybrid vehicle, the electric power generated by an alternator driven by an engine and the electric power regenerated by a motor-generator are stored in a battery. The battery discharges electric energy to drive the motor-generator. An ECU calculates fuel consumption of the engine and fuel consumption of the motor-generator, and determines a distribution of motive power between the engine and the motor-generator from the fuel consumptions. The ECU calculates fuel consumption contributing to the electric energy stored in the battery, and then calculates the fuel consumption of the motor-generator by reflecting the contributing fuel consumption in it.