Hybrid Vehicle Power Split Control for Changing Driving States
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Solution Overview
Problem
Conventional hybrid controllers fail to determine the optimal ratio of engine output to motor output in rapidly changing driving environments, leading to inefficient electrical and fuel consumption.
Innovation Solution
A device and method that collect driving data from multiple vehicles, determine driving states based on transition probabilities, and control the hybrid vehicle's power sources (engine and motor) based on generated driving patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the hybrid controller determines the ratio of engine output to motor output based on ECMS to maintain reference SOC, then the battery state of charge is maintained, but the controller cannot determine the optimal ratio capable of minimizing electrical energy consumption and fuel consumption in rapidly changing driving environments
Solution Approach 1:
The system pre-calculates and stores optimal power distribution strategies for various driving conditions and battery states before actual operation. When a specific driving scenario occurs, the controller directly applies the pre-determined optimal strategy, enabling rapid adaptation to changing driving environments without real-time computation delays
Solution Approach 2:
The control system dynamically adjusts the power distribution between engine and motor based on real-time driving conditions and battery state of charge. The controller continuously monitors driving patterns, vehicle speed, acceleration demands, and battery status to optimize the power split ratio adaptively, transitioning from static ECMS-based control to dynamic condition-based control
2Ease of manufacture
If the hybrid vehicle uses a parallel hybrid structure with direct connection between motor and engine output shafts, then the structure is simple and cost-effective, but the control becomes complicated due to the need to adjust engine and motor output ratios according to driving situations
Solution Approach 1:
Optimal power distribution strategies are pre-calculated and stored in memory before operation. The controller retrieves and applies these pre-determined strategies based on current driving conditions, avoiding the need for complex real-time optimization algorithms and simplifying the control system architecture
Solution Approach 2:
The control system implements continuous feedback monitoring of driving conditions, battery state of charge, and power distribution performance. This feedback mechanism enables the controller to adjust power split ratios in real-time while maintaining system simplicity through rule-based control logic rather than complex computational algorithms
Data Source
AI summary
A device and method for controlling a hybrid vehicle. The device includes a connection device that provides a connection interface with a hybrid vehicle network, and a controller that collects driving data through the connector, determines a driving state based on the driving data, generates a driving pattern according to a transition of the driving state, and controls driving of the hybrid vehicle based on an output ratio of a first power source to a second power source corresponding to the driving pattern.