Hybrid Power System Simulated Equivalent Fuel Consumption Data
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Solution Overview
Problem
Current hybrid power systems face challenges in achieving holistic optimization of control strategies for subsystems like engines, motors, and generators due to reliance on trial-and-error engineering methods or computationally intensive theoretical analyses, resulting in inefficient fuel consumption and inaccurate control parameter determination.
Innovation Solution
A hybrid power system that generates simulated equivalent fuel consumption multidimensional data using a defined formula, incorporating system control, state, and negative load parameters, allowing for direct loading into a vehicle control unit to optimize engine, motor, and generator operations without normalization, thereby reducing analysis time and enhancing precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trial-and-error engineering methods are used to determine control strategies, then control can be achieved based on direct engineering observation, but the process is tiresome and results in only local optimizations rather than holistic optimization
Solution Approach 1:
The patent pre-calculates and stores optimal control parameters in a lookup table before real-time operation. During actual vehicle operation, the control unit simply queries the pre-computed table based on current operating conditions, avoiding repeated trial-and-error calculations and achieving both high accuracy and real-time performance.
Solution Approach 2:
The patent creates a virtual model of the hybrid power system that replicates the complex relationships between engine, motor, and generator. This virtual model is used to pre-compute optimal control strategies, which are then copied to the actual control unit for real-time implementation, eliminating the need for complex real-time calculations.
2Reliability
If theoretical analysis methods are used to build vehicle models, then comprehensive system analysis can be achieved, but the methods are complicated and computationally intensive, making them unsuitable for real-time control
Solution Approach 1:
The patent divides the complex control problem into separate manageable components: engine control, motor control, and generator control. Each subsystem has its own control parameters and optimization criteria, allowing independent analysis and simplification while maintaining overall system reliability through coordinated control.
Solution Approach 2:
The patent transforms the complex theoretical model into a simplified parameter-based lookup table. By changing the representation from continuous complex equations to discrete parameter sets, the system achieves both reliability through comprehensive analysis and simplicity for real-time implementation.
3Productivity
If simplified rule-based control systems are developed from off-line analysis, then real-time control can be implemented, but the results lack precision compared to comprehensive theoretical analysis
Solution Approach 1:
The patent introduces a lookup table as an intermediary between comprehensive theoretical analysis and real-time control implementation. The lookup table contains pre-computed optimal parameters derived from thorough analysis, serving as a mediator that provides both the precision of comprehensive analysis and the speed of simple rule-based 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
This approach significantly reduces fuel consumption by enabling holistic optimization of control strategies, improving precision and accuracy of control parameters, and overcoming the limitations of prior methods that result in local optimizations and lengthy analysis times.
Implementation Method 1
a motor, which is powered by the power provided by the battery, the motor converting electrical energy to mechanical energy to move the vehicle
Implementation Method 2
a fuel-burning engine, the engine converting chemical energy into mechanical energy used to move the vehicle and/or drive a generator to produce electrical energy
Implementation Method 3
a generator, which is driven by the engine to generate electricity for charging the battery
Data Source
AI summary
A vehicle hybrid power system is provided according to the present invention. The hybrid power system is characterized by applying the concept of minimum equivalent fuel consumption, and then simulating equivalent fuel consumptions based on respective energy consumption or increase of motor and generator of a motor vehicle, and also defining simulated equivalent fuel consumption formula and making a list of system state parameters, system control parameters, and system negative load parameters, thereby obtaining simulated equivalent fuel consumption multidimensional data by entering the system parameters derived from a discretization/transformation process in the defined simulated equivalent fuel consumption formula; wherein, the simulated equivalent fuel consumption multidimensional data are revised to comprise subsystems, such as system engine, motor, generator, and others to determine a system control strategy of holistic optimization, thereby achieving the objective of saving energy. The present invention further provides a method for creating simulated equivalent fuel consumption multidimensional data, which is applicable to the hybrid power system of the present invention.