Hybrid Electric Vehicle Shift Pattern Control Method
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Solution Overview
Problem
Hybrid electric vehicles experience inefficiencies and energy loss due to inappropriate shift pattern changes during mode transitions between electric motor-oriented and engine-oriented modes, leading to inefficient driving and unnecessary shifting.
Innovation Solution
A method for controlling shift pattern changes in hybrid electric vehicles that determines the optimal time for pattern changes based on driving conditions, such as mode transition direction, engine status, and shifting requirements, using a hybrid control unit to coordinate the transition between motor efficiency-oriented and engine efficiency-oriented shift patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If shift pattern changes are performed automatically during mode transition between CD and CS modes, then the vehicle can adapt to different driving conditions, but unnecessary shifting occurs leading to energy loss and reduced drivability
Solution Approach 1:
The control method determines HEV mode related conditions (engine status, shifting requirements) before executing the shift pattern change. By performing preliminary assessment of driving conditions and engine status, the system avoids unnecessary shifting during mode transition, thereby reducing energy loss while maintaining adaptability to different driving scenarios
Solution Approach 2:
The system continuously monitors HEV mode related conditions including engine on/off status and shifting requirements, and uses this feedback to determine whether to execute shift pattern changes. This feedback mechanism ensures shifting occurs only when necessary, preventing energy waste from inappropriate gear changes during mode transitions
2Loss of energy
If shift pattern changes are delayed until engine start, then unnecessary shifting is reduced, but low-efficiency driving sections increase during the delay period
Solution Approach 1:
The system performs preliminary determination of HEV mode related conditions (whether engine should be on, shifting requirements) before the actual shift pattern change. This allows the control unit to plan the optimal timing for shift pattern execution, balancing the reduction of unnecessary shifting with the need to maintain driving efficiency during transition periods
Solution Approach 2:
The shift pattern change timing is dynamically adjusted based on real-time HEV mode related conditions. Rather than using a fixed delay, the system adapts the timing of shift pattern changes according to engine status, driving load, and shifting requirements, thereby optimizing both energy efficiency and driving productivity during mode transitions
3Productivity
If multiple shift patterns are prepared for different modes, then optimal performance can be achieved in each mode, but system complexity increases
Solution Approach 1:
The control unit is designed to universally handle multiple shift patterns (CD shift pattern, CS shift pattern) and automatically select the appropriate pattern based on HEV mode related conditions. This multi-functional control approach allows the system to maintain optimal performance for different modes while managing complexity through a single intelligent control unit rather than separate control systems for each mode
Data Source
AI summary
A hybrid electric vehicle which may effectively determine a point in time of shift pattern change and a method of controlling a shift pattern therefor are disclosed. The method includes determining whether or not a request for shift pattern change is received, determining HEV mode related conditions, in response to a determination that the request for shift pattern change is received, and changing a shift pattern according to the request for shift pattern change, in response to a determination that the HEV mode related conditions are satisfied.