Dynamic Engine Auto Stop Criteria Tuning
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Solution Overview
Problem
Micro-hybrid vehicles face challenges in optimizing engine auto stops to balance fuel economy and system durability, as existing criteria do not adapt effectively to varying driving conditions and vehicle usage, leading to inefficient stop/start events and potential wear on components.
Innovation Solution
A controller-based system that dynamically alters auto stop criteria by tracking previous auto stops, total auto stop off time, and battery throughput to adjust the frequency of engine auto stops, including altering battery voltage thresholds, acceptable battery states of charge, and electric current demand thresholds, to encourage or discourage engine auto stops based on actual usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If engine auto stops are implemented to improve fuel economy, then fuel consumption is reduced, but system durability deteriorates due to increased wear on components
Solution Approach 1:
The patent implements dynamic adjustment of auto stop criteria based on real-time monitoring of component wear indicators and operating conditions. The system transitions from static, fixed thresholds to dynamic, adaptive criteria that modify auto stop behavior according to actual vehicle state, thereby balancing fuel economy gains with component durability protection
Solution Approach 2:
The system changes operational parameters (auto stop thresholds, timing, and frequency) based on monitored conditions such as component wear levels, battery state, and operating temperature. By adjusting these parameters dynamically, the system optimizes the balance between reducing fuel consumption through more frequent auto stops and protecting system durability by avoiding excessive wear
2Device complexity
If fixed auto stop criteria are used, then system complexity is reduced, but adaptability to varying driving conditions deteriorates
Solution Approach 1:
The patent incorporates feedback mechanisms that continuously monitor driving conditions, component states, and auto stop performance. This feedback is used to dynamically adjust auto stop criteria, enabling the system to adapt to varying driving conditions while maintaining manageable complexity through rule-based decision logic rather than complex algorithms
Solution Approach 2:
The system performs self-adjustment of auto stop criteria based on monitored parameters and pre-programmed rules, eliminating the need for complex external control systems or manual intervention. The controller autonomously modifies operating parameters to optimize performance across different driving scenarios
Data Source
AI summary
The criteria used to determine whether to initiate an auto stop of an engine may be altered based on a number of previous auto stops of the engine, a total auto stop off time of the engine, or a total throughput of a battery. Altering the criteria may influence a frequency with which the engine is auto stopped.