Hybrid Vehicle Mode Replanning Threshold Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hybrid vehicles experience discomfort due to mid-route replanning of traveling modes based on battery remaining amount and energy balance, leading to unnecessary changes in driving modes.
Innovation Solution
A moving assist apparatus and method that replans traveling modes for hybrid vehicles with internal combustion engines and electric motors, prioritizing mode changes when the remaining distance or time of a section is less than a threshold, using assumed traveling loads to minimize mode switches and optimize route planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the traveling mode is replanned based on battery remaining amount and energy balance, then the battery charge storage amount is optimized, but the driver experiences discomfort due to mid-route mode changes
Solution Approach 1:
The system applies preliminary anti-action by pre-defining threshold values for remaining distance and remaining time before replanning occurs. When replanning is triggered, the system checks these thresholds first to prevent mode changes that would cause driver discomfort. This anticipatory approach blocks harmful mode switches before they occur, maintaining both battery optimization and driver comfort.
2Use of energy by moving object
If the traveling mode is changed halfway in a traveling section, then the energy balance is adjusted, but the driver feels discomfort due to unnecessary mode changes
Solution Approach 1:
The system prevents harmful mid-section mode changes by checking remaining distance and time thresholds before executing replanning. This preliminary check blocks mode changes that would occur halfway through a section, eliminating the harmful effect on driver comfort while preserving necessary energy balance adjustments.
Solution Approach 2:
The system performs preliminary action by calculating and storing threshold values for remaining distance and time in advance. These pre-computed thresholds are used during replanning to determine whether mode changes should be suppressed, allowing the system to make quick decisions without complex real-time calculations.
3Reliability
If the traveling mode is replanned frequently, then the battery management is optimized, but the system complexity increases
Solution Approach 1:
The system changes parameters by using threshold values for remaining distance and remaining time as control parameters. Instead of complex optimization algorithms, the system simply compares current values against pre-defined thresholds to decide whether to suppress replanning. This parameter-based approach simplifies the system while maintaining effective battery management.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A moving assist apparatus assists a vehicle which includes an internal combustion engine and an electric motor as a driving source to move from a current position to a destination. The moving assist apparatus includes a planning unit configured to, for each section obtained by dividing a traveling route from the current position to the destination, plan one traveling mode from a EV mode of not maintaining a charge storage amount of a battery and a HV mode of maintaining the charge storage amount of the battery, based on a traveling load associated with the section. The planning unit is configured to replan the traveling mode under a predetermined condition, and when the predetermined condition is satisfied, when a remaining distance of the section on which the vehicle is traveling is less than a threshold a, to replan a current 'traveling mode to be the traveling mode in priority.