Hybrid Vehicle Control Unit Optimizing Fuel Consumption
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Solution Overview
Problem
Hybrid vehicles with parallel architecture face challenges in optimizing fuel consumption without compromising performance, especially when dealing with unknown speed profiles, and existing methods are either complex or costly to implement.
Innovation Solution
A control method for hybrid vehicles with a parallel architecture that optimizes cumulative fuel consumption by determining optimal torque profiles for the internal combustion engine and reversible electrical machine, using a control unit to minimize fuel consumption while maintaining drive wheel torque requirements, regardless of known or unknown speed profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If known speed profile methods are used to optimize fuel consumption, then fuel consumption is reduced, but the method cannot be applied when speed profile is unknown and implementation complexity increases
Solution Approach 1:
The control unit autonomously determines optimal torque profiles and energy distribution without requiring external speed profile information. The system self-adjusts by continuously monitoring actual vehicle speed and comparing it with reference speed profiles, automatically optimizing fuel consumption in real-time without complex pre-programming or external input requirements.
Solution Approach 2:
The method dynamically changes control parameters (torque distribution, energy management strategies) based on actual vehicle operation conditions. By adapting torque profiles and power split decisions to real-time speed variations, the system achieves fuel optimization without requiring known speed profiles, effectively transforming static optimization algorithms into dynamic adaptive control.
2Use of energy by moving object
If complex optimization algorithms are used to minimize fuel consumption, then fuel efficiency improves, but the cost and complexity of implementation increases
Solution Approach 1:
The method replaces expensive complex optimization algorithms with simpler, computationally efficient control strategies. By using basic comparative logic (comparing actual speed with reference profiles and adjusting torque accordingly), the system achieves fuel optimization without requiring sophisticated computational resources, reducing implementation costs while maintaining effectiveness.
Solution Approach 2:
The control unit applies partial optimization actions by focusing on key control variables (torque distribution and power split decisions) rather than attempting to optimize all system parameters simultaneously. This selective approach achieves substantial fuel consumption reduction while keeping the control algorithm simple and computationally inexpensive.
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
The method effectively reduces cumulative fuel consumption and emissions by optimizing energy generation and torque distribution, ensuring the internal combustion engine operates at minimum specific fuel consumption while meeting drive wheel torque demands, regardless of speed profile conditions.
Implementation Method 1
The electrical machine usually is a reversible electrical machine, namely it can act both as an engine by absorbing electrical energy and by generating mechanical work and as a generator by absorbing mechanical work and by generating electrical energy
Implementation Method 2
an internal combustion engine, which transmits a torque to the drive wheels
Data Source
Figure 1
Figure 2~3c
Figure 4a~4c
AI summary
A method to control a hybrid vehicle with a parallel architecture and with an unknown speed profile, wherein the hybrid vehicle is provided with an internal combustion engine (2) and with a reversible electrical machine (14) connected to a storage system (16) designed to store electrical energy; the method comprises the steps of recognizing the operating mode of the hybrid vehicle; determining a function of the specific fuel consumption (BSFC) of the drive system of the hybrid vehicle as a function of the operating mode of the hybrid vehicle; determining the optimal value of the power (PB) of the storage system (16) and the optimal value of the power (PE) of the internal combustion engine (2), which correspond to the values that permit a minimization of said function. Main figure: Figure 8