Torque Control Precision in Hybrid Vehicle Power Sources
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Solution Overview
Problem
The existing torque control precision of power sources in a P13-configuration hybrid electric vehicle is low due to manufacturing errors, torque model inaccuracies, and changes in boundary conditions, leading to deviations between actual and theoretical torque, which affects battery safety and performance.
Innovation Solution
A method and apparatus for torque control in hybrid electric vehicles that involves obtaining working condition parameters, calculating target actual torque based on preset detection conditions, and storing torque deviations in a look-up table to correct torque control precision using a torque precision look-up table, thereby improving accuracy and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If theoretical torque control is used based on power source models, then control simplicity is maintained, but torque control precision deteriorates due to manufacturing errors and model inaccuracies
Solution Approach 1:
The system performs preliminary torque deviation detection and characterization during vehicle operation. By continuously monitoring the difference between actual torque and theoretical torque under various working conditions, the system builds a torque precision look-up table in advance that can be used for real-time correction without adding complex control logic.
Solution Approach 2:
The patent introduces a torque precision look-up table as an intermediary between the theoretical torque model and actual torque control. This look-up table stores pre-calculated torque deviations and serves as a correction reference, allowing the system to maintain simple model-based control while achieving high precision through the intermediary correction data.
2Measurement precision
If torque deviation detection is performed continuously under all working conditions, then torque control precision is improved, but system complexity and computational burden increase
Solution Approach 1:
The system applies local quality by performing torque deviation detection selectively based on working condition parameters rather than continuously under all conditions. The control unit determines whether to detect torque deviation based on specific parameter thresholds, applying the detection function only where and when it is most beneficial.
Solution Approach 2:
The patent uses parameter changes to optimize the detection process. By monitoring working condition parameters (such as rotational speed, torque demand, and power source state) and changing the detection behavior based on these parameters, the system achieves high precision where needed while reducing complexity under normal operating conditions.
3Measurement precision
If torque precision look-up table is built with detailed working condition parameters, then torque control accuracy is improved, but data storage requirements and processing time increase
Solution Approach 1:
The system applies partial action by selecting only the most critical working condition parameters for inclusion in the torque precision look-up table. Rather than storing data for all possible parameter combinations, the system identifies and stores deviations for the most influential parameters, achieving sufficient accuracy with reduced data storage requirements.
Data Source
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AI summary
The present disclosure relates to the technical field of vehicles, and disclosed are a method and apparatus for controlling a torque of a hybrid electric vehicle, a vehicle, and a storage medium. The method includes: obtaining working condition parameters of power sources, where the power sources include an engine, a P1 motor and a P3 motor; calculating, when a target power source with a working condition parameter satisfying corresponding preset detection conditions exists in the power sources, a target actual torque of the target power source; obtaining a current output torque of the target power source; obtaining a torque deviation of the target power source at a current operating rotational speed and the current output torque based on a difference between the target actual torque and the current output torque; storing the torque deviation in a torque precision look-up table corresponding to the target power source, where the torque precision look-up table is configured for storing torque deviations of the target power source at different operating rotational speeds and torques; and controlling a torque of the target power source based on the torque precision look-up table. The present disclosure can solve a problem that torque control precision of the power sources of a P13-configuration hybrid electric vehicle is low.