Driver-Intent Vehicle Control for Regeneration Timing
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Solution Overview
Problem
Existing vehicle control systems struggle to optimize the timing of intermittent and transient vehicle actions, such as regeneration procedures and SCR dosing, which can lead to increased fuel consumption, emissions, and performance costs due to factors like urban driving cycles and changing operating conditions.
Innovation Solution
A control system that identifies the driver through various identity signals, determines a driver profile, estimates the driver's intent based on their profile and vehicle data, and schedules vehicle actions accordingly to optimize their timing and impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regeneration procedures are performed frequently to maintain device effectiveness, then the device operates effectively, but fuel consumption and emissions increase
Solution Approach 1:
The control system predicts future vehicle operating conditions and schedules regeneration procedures in advance during periods of high vehicle load and constant speed, before the device becomes saturated. This preliminary scheduling prevents the need for frequent emergency regenerations and allows the system to optimize timing to minimize impact on fuel consumption and emissions.
Solution Approach 2:
The system continuously monitors device saturation levels, vehicle operating conditions, and driver behavior patterns. This feedback loop enables the control system to adjust regeneration scheduling dynamically, performing procedures when conditions are most favorable (high load, constant speed) and avoiding periods when the vehicle is already under high fuel consumption or in stop-and-go traffic.
2Use of energy by moving object
If regeneration procedures are delayed to reduce fuel consumption impact, then fuel consumption decreases, but the device becomes saturated and stops operating effectively
Solution Approach 1:
The system performs regeneration procedures in advance during predicted periods of favorable operating conditions, before the device reaches saturation. By proactively scheduling regenerations during high-load periods, the system prevents device saturation without requiring excessive delays that would compromise effectiveness.
Solution Approach 2:
The control system dynamically adjusts the timing and frequency of regeneration procedures based on real-time monitoring of device saturation levels and predicted future operating conditions. This dynamic scheduling allows the system to extend intervals between regenerations when conditions permit, reducing overall fuel consumption impact while maintaining device effectiveness through timely interventions.
3Reliability
If regeneration procedures are performed during urban drive cycles with frequent speed changes, then the device is maintained, but the impact on fuel consumption and emissions is greater compared to highway cruising
Solution Approach 1:
The control system identifies and targets specific local operating conditions that are optimal for regeneration procedures, namely periods of high vehicle load and constant speed (such as highway cruising). By concentrating regeneration activities in these favorable local conditions rather than during urban stop-and-go traffic, the system minimizes the negative impact on emissions and fuel consumption while maintaining device effectiveness.
Solution Approach 2:
The system predicts future vehicle routes and identifies upcoming periods of favorable operating conditions (high load, constant speed). It then schedules regeneration procedures in advance to coincide with these predicted favorable periods, avoiding urban drive cycles with frequent speed changes that would increase emissions and fuel consumption impact.
4Adaptability or versatility
If the vehicle mode of operation changes during an ongoing procedure, then the vehicle adapts to new conditions, but the procedure must be aborted and reattempted, increasing overall impact
Solution Approach 1:
The control system schedules regeneration procedures in advance during predicted periods of stable operating conditions (high load, constant speed), before any mode changes occur. By proactively selecting time windows with minimal expected disruptions, the system reduces the likelihood of procedure abortions and the associated time losses from reattempts.
Solution Approach 2:
The system continuously monitors vehicle operating conditions and driver behavior patterns to predict future mode changes. This feedback enables the control system to schedule regeneration procedures during periods of expected operational stability, avoiding times when mode changes are likely to occur. The system learns from past patterns to increasingly accurately predict favorable scheduling windows that minimize interruptions.
Data Source
AI summary
Aspects of the present invention relate to a control system for a vehicle (10) and an associated method of controlling a vehicle (10). The control system comprises one or more controllers, the control system being configured to: receive at least one identity signal indicative of an identity of a driver of the vehicle (10); determine a driver profile in accordance with a driver identity indicated by the or each identity signal; estimate a driver intent in accordance with the driver profile; and schedule a vehicle action in accordance with the driver intent.