Hybrid Vehicle Temperature Control via Predictive Stop Management
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Solution Overview
Problem
Hybrid vehicles experience inefficient temperature control and engine efficiency deterioration due to short stops, which prevent effective heating in cold weather, as they often switch to low-efficiency series mode during short stops.
Innovation Solution
A method and system for predicting stop times using a hybrid control unit that determines whether a stop is short or long, preventing entry into low-efficiency series mode when a stop is predicted to be short, thereby maintaining the vehicle in a more efficient parallel mode for heating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle switches to series mode during short stops, then the vehicle can operate the engine at low load to generate electricity, but the engine efficiency deteriorates and heating performance decreases
Solution Approach 1:
The system predicts stop duration in advance using machine learning models and traffic signal information. When a short stop is predicted, the control unit maintains parallel mode beforehand, ensuring the engine continues to provide both propulsion and heating without switching to inefficient series mode. This preliminary prediction and preparation prevents the efficiency deterioration that would occur with premature mode switching.
Solution Approach 2:
The invention dynamically adjusts the driving mode based on real-time predictions of stop duration. Rather than using fixed mode switching rules, the system continuously evaluates predicted stop characteristics and adapts the operating mode accordingly. This dynamic approach allows the vehicle to maintain optimal engine efficiency during short stops while preserving heating capability, resolving the contradiction between energy efficiency and adaptability.
2Power
If the vehicle enters series mode during stops, then the engine can generate electricity, but the coolant temperature increase is insufficient for effective heating
Solution Approach 1:
The system incorporates feedback from temperature sensors and stop duration predictions to determine optimal mode selection. When a short stop is predicted and the coolant temperature is still low, the control unit maintains parallel mode to continue generating heat through the engine. This feedback mechanism ensures that mode decisions consider both electricity generation needs and heating requirements, preventing situations where series mode selection would result in insufficient coolant temperature increase.
Solution Approach 2:
The invention changes the operating parameters (driving mode) based on predicted stop characteristics and current temperature conditions. By adjusting the mode selection parameter dynamically rather than using fixed rules, the system can maintain conditions favorable for both electricity generation and heat production during short stops, resolving the contradiction between power generation and temperature maintenance.
3Productivity
If the hybrid control unit switches to series mode based on stop detection, then the vehicle can operate efficiently during stops, but short stops cause mode switching that reduces overall engine efficiency
Solution Approach 1:
The system performs preliminary prediction of stop duration using machine learning models before actually switching modes. By predicting whether a stop will be short or long in advance, the control unit可以避免 unnecessary mode switching that would occur with simple stop-detection-based control. This preliminary action maintains engine efficiency during short stops while still enabling efficient series mode operation during longer stops, reducing overall energy loss.
Solution Approach 2:
The invention replaces simple mechanical stop-detection switching with an intelligent prediction-based control system. Instead of relying solely on mechanical sensors detecting stop conditions, the system uses machine learning models and traffic information to predict stop characteristics. This substitution enables more nuanced decision-making that preserves engine efficiency during short stops while maintaining operational efficiency during longer stops, reducing energy loss from inappropriate mode switching.
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
This approach ensures efficient heating in cold weather by preventing the transition to low-efficiency series mode during short stops, maintaining engine efficiency and enhancing coolant temperature increase.
Implementation Method 1
the FATC may determine that engine coolant is utilized
Data Source
AI summary
A method of performing temperature control of a hybrid vehicle implements a mode change control method capable of efficiently performing heating in cold weather by predicting a stop of the hybrid vehicle. The method includes receiving an engine operation request from a full automatic temperature control (FATC) unit, determining whether to enter a first hybrid electric vehicle (HEV) mode utilizing engine power as driving force, determining whether a predicted stop time is equal to or less than a predetermined time, when entry into the first HEV mode is impossible, and disallowing entry into a second HEV mode utilizing engine power for generation of electricity, when the predicted stop time is equal to or less than the predetermined time.