Hybrid Vehicle Operating Point Control Across Driving Modes
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Solution Overview
Problem
Hybrid vehicles face challenges in accurately determining an optimal economic operating point to achieve the highest comprehensive utilization efficiency of both fuel and battery energies, as different operating points and driving modes lead to varying energy consumption.
Innovation Solution
A method and apparatus that calculates demand torque at the driver's wheel end based on actual operational parameters, determining the most economical operating point and equivalent fuel consumption power under different driving modes, including series, parallel, and pure electric modes, to identify the optimal economic operating point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the engine and motor operate at different operating points under different driving modes, then the vehicle can adapt to various driving conditions, but the energy consumption varies and it becomes difficult to determine the optimal economic operating point
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting operating parameters (torque, speed, power distribution) based on different driving modes. The control system calculates equivalent fuel consumption power under various operating conditions and selects the optimal operating point that minimizes energy consumption while adapting to series, parallel, or pure electric modes.
Solution Approach 2:
The patent implements dynamics by continuously monitoring actual operational parameters and dynamically determining the most economical operating point in real-time. The system transitions between different operating modes and adjusts engine-motor coordination dynamically based on current vehicle conditions, ensuring optimal energy efficiency across varying driving scenarios.
2Loss of energy
If the vehicle operates without real-time calculation of equivalent fuel consumption power, then the control system is simpler, but the comprehensive utilization efficiency of fuel and battery energy cannot be maximized
Solution Approach 1:
The patent replaces complex mechanical trial-and-error optimization with computational calculation. The control system uses equivalent fuel consumption power calculations to determine optimal operating points, substituting physical experimentation with mathematical modeling and real-time computation to achieve energy optimization.
Solution Approach 2:
The control system performs self-optimization by autonomously calculating the most economical operating point based on actual operational parameters. The system serves itself by internally determining optimal engine-motor coordination without requiring external intervention, maximizing energy efficiency through self-contained computational optimization.
3Measurement precision
If the vehicle uses traditional operating point selection methods, then the control implementation is easier, but the demand torque at driver's wheel end and equivalent fuel consumption power are not accurately matched
Solution Approach 1:
The patent implements feedback by continuously comparing actual operational parameters with calculated optimal operating points. The system monitors equivalent fuel consumption power in real-time and adjusts engine-motor operations based on this feedback, ensuring accurate matching of demand torque and energy consumption while maintaining precise control over the hybrid powertrain.
Data Source
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AI summary
A method and apparatus for controlling an optimal economic operating point of a hybrid vehicle, and a vehicle, a medium, and a device. The method includes: obtaining actual operational parameters and equivalent fuel consumption power corresponding to a current operating point of the vehicle; determining, in combination with the actual operational parameters corresponding to a current operating point of the vehicle, a most economical operating point of the vehicle under different driving modes and an optimal equivalent fuel consumption power corresponding to the most economical operating point; and determining, based on the optimal equivalent fuel consumption power corresponding to the most economical operating point of the vehicle under the different driving modes and the equivalent fuel consumption power corresponding to the current operating point of the vehicle, an optimal economic operating point of the hybrid vehicle.