Hybrid Power Control Verification Using Semi-Physical Simulation
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Solution Overview
Problem
Existing methods for verifying the control strategy of distributed hybrid power systems are either costly or fail to accurately simulate the running characteristics, leading to ineffective verification of the control strategy.
Innovation Solution
A semi-physical simulation verification method using a rapid prototyping controller and hardware-in-the-loop simulation system, combined with a visualization platform, to accurately simulate and verify the control strategy of distributed hybrid power systems, reducing costs and ensuring accurate signal representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an experimental bench is built to verify the control strategy of distributed hybrid power system, then the verification can obtain the most realistic situation, but the cost is high and the normal operation of the experimental bench is affected if the control strategy goes wrong
Solution Approach 1:
The patent creates a virtual copy of the distributed hybrid power system through software-in-the-loop simulation, replicating the system's behavior and characteristics in a digital environment. This allows comprehensive verification of control strategies without requiring expensive physical experimental benches, thereby reducing test costs while maintaining verification accuracy through the use of detailed mathematical models that mirror real system dynamics
Solution Approach 2:
The patent replaces the mechanical/physical experimental bench with a software-based simulation system. By substituting physical hardware with computational models running on standard computing equipment, the system achieves comparable verification capabilities without the high costs and operational risks associated with physical experimental setups
2Device complexity
If traditional hardware-in-the-loop simulation is used, then the test cost is reduced, but the signal output interfaces are configured according to traditional engine characteristics and cannot completely display the running characteristics of distributed hybrid system
Solution Approach 1:
The patent changes the fundamental parameters of the simulation system by transitioning from traditional hardware-in-the-loop configuration to software-in-the-loop architecture. This parameter change enables the system to output signals according to distributed hybrid system characteristics rather than traditional engine characteristics, improving signal representation accuracy while maintaining cost-effectiveness through software-based implementation
Solution Approach 2:
The patent implements a dynamic signal output interface that can adapt to different distributed hybrid system configurations and operating conditions. The software-based architecture allows real-time adjustment of signal parameters and characteristics to match the specific running characteristics being verified, providing complete and accurate representation without the constraints of fixed hardware interfaces
3Measurement precision
If a customized hardware-in-the-loop simulation system is built to accurately represent distributed hybrid system characteristics, then verification accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent creates a universal software-in-the-loop simulation platform that can verify control strategies for various distributed hybrid power system configurations through software configuration rather than hardware customization. The system uses standardized computing infrastructure that can be programmed to represent different system architectures, powertrain components, and operating conditions, achieving high verification accuracy without increasing physical device complexity or cost
Data Source
AI summary
The present disclosure provides a semi-physical simulation verification method for a control strategy of a distributed hybrid power system, including the following steps: designing a rapid prototyping controller; completing a connection between a semi-physical simulation test platform and an upper computer; building a distributed hybrid power system simulation model using MATLAB/Simulink; and forming a code in Simulink and generating a MATLAB Function module, setting a signal output module for a control signal output under a control strategy, and establishing a corresponding relationship between the signal output module and an output signal interface of the rapid prototyping controller. According to the present disclosure, the test cost generated during verifying the feasibility of the control strategy of the distributed hybrid system is effectively reduced.