Hybrid Powertrain Control Using ECMS for Torque Split Efficiency
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Solution Overview
Problem
Conventional rule-based control optimization methods for hybrid power systems are limited by overly simplified actuating conditions, failing to achieve energy efficiency optimization.
Innovation Solution
A hybrid power system employing an equivalent consumption minimization strategy (ECMS) that includes a control core, an internal combustion engine, an electric motor, and a storage battery, using a four-loop formula and global grid search to calculate optimal power distribution and minimize energy consumption through a multi-dimensional table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If rule-based control optimization method is used, then implementation is easy and computing efficiency is high, but energy efficiency optimization cannot be achieved
Solution Approach 1:
The patent pre-calculates equivalent consumption values for all possible combinations of engine torque, motor torque, and battery state of charge before actual operation. This preliminary computation stores optimal power distribution strategies in advance, allowing the control system to quickly retrieve and execute pre-determined optimal solutions without complex real-time calculations, thus achieving both energy efficiency optimization and acceptable computational speed.
Solution Approach 2:
The patent transitions from static rule-based control to dynamic equivalent consumption minimization control. The control strategy dynamically adjusts power distribution between engine and motor based on real-time operating conditions (torque requirements, battery state of charge, vehicle speed) by continuously referencing the pre-calculated equivalent consumption tables, enabling adaptive optimization of energy efficiency across varying operating scenarios.
2Loss of time
If rule-based control optimization method is used, then experimental verification is fast, but energy efficiency optimization purpose cannot be achieved
Solution Approach 1:
The patent performs comprehensive equivalent consumption calculations and generates optimal control tables during the design and development phase. These pre-computed tables encapsulate the results of extensive virtual experimentation and optimization, allowing rapid experimental verification during testing without repeating complex optimization computations, thus reducing verification time while maintaining energy efficiency optimization.
3Use of energy by moving object
If equivalent consumption minimization strategy is used, then power distribution optimization is achieved, but computing complexity increases
Solution Approach 1:
The patent resolves computing complexity by pre-calculating equivalent consumption values for all possible operating conditions during the design phase. The computationally intensive optimization computations are performed beforehand to generate lookup tables, transforming complex real-time optimization problems into simple table retrieval operations during actual vehicle operation, thus achieving power distribution optimization without burdening the real-time control system.
Solution Approach 2:
The patent handles the multi-dimensional optimization problem (engine torque, motor torque, battery state of charge, vehicle speed, acceleration) by pre-computing equivalent consumption across all dimensions and storing results in multi-dimensional lookup tables. This transforms a complex multi-variable real-time optimization problem into a series of simpler table lookups based on current operating parameters, significantly reducing real-time computational requirements.
Data Source
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AI summary
A hybrid power system (100) including a control core (110), a driving mechanism (120), an internal combustion engine, an electric motor (140), and a storage battery (150) is provided. The driving mechanism (120) is controlled by the control core (110). The internal combustion engine is connected to the driving mechanism (120) and controlled by the control core (110). The electric motor (140) is connected to the driving mechanism (120) and controlled by the control core (110). The storage battery (150) is coupled to the electric motor (140) and the control core (110). In response to a required torque (Td) being input to the control core (110), the control core (110) executes an equivalent consumption minimization strategy and actuates the internal combustion engine and/or the electric motor (140) to transmit power to the driving mechanism (120).