Intelligent Power Management for Hybrid Vehicles
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Solution Overview
Problem
Conventional intelligent power management systems for hybrid electric vehicles are reactive and fail to predictively manage torque and RPM of internal combustion engines, neglecting factors like noise, vibration, and harshness, which affects fuel efficiency and emissions.
Innovation Solution
An intelligent power management system that includes fuel efficiency and noise, vibration, and harshness (NVH) sensors to measure and generate efficiency maps, allowing for predictive management of engine torque and RPM to optimize fuel efficiency, NVH levels, and emissions by correlating fuel consumption rates, power production, noise, and vibration measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional reactive power management systems are used to control engine torque and RPM, then the system can respond to immediate driving demands, but it cannot predictively optimize fuel efficiency and emissions while neglecting NVH considerations
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal engine torque and RPM settings based on predicted driving conditions and stored efficiency maps. The processor anticipates future power demands and pre-determines optimal engine operating parameters before actual driving events occur, enabling predictive rather than reactive control.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring actual engine performance, fuel consumption, NVH levels, and emissions. This real-time feedback is compared against predicted values from efficiency maps, allowing the system to refine predictions and adjust engine control strategies to maintain optimal operation.
2Use of energy by moving object
If engine operation is optimized solely for fuel efficiency, then fuel consumption decreases, but NVH levels may increase affecting driving comfort
Solution Approach 1:
The system changes operating parameters by dynamically adjusting engine torque and RPM based on multi-dimensional efficiency maps that incorporate fuel consumption, NVH levels, and emissions. The processor selects optimal parameter combinations from stored maps that balance fuel efficiency with acceptable NVH characteristics for different driving conditions.
Solution Approach 2:
The system implements dynamic control by continuously adapting engine operating parameters in real-time based on changing driving conditions, vehicle state, and environmental factors. The efficiency maps provide dynamic guidance for torque and RPM adjustments that respond to transient conditions while maintaining optimal fuel efficiency and NVH performance.
3Productivity
If multiple sensors and efficiency maps are implemented for comprehensive power management, then optimization of fuel efficiency, NVH, and emissions is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single integrated processor that handles multiple functions: collecting data from various sensors, generating efficiency maps, predicting power demands, calculating optimal engine parameters, and controlling engine operation. This universal approach consolidates multiple functions into one control unit, managing complexity while maintaining comprehensive optimization capabilities.
Solution Approach 2:
The system merges multiple efficiency considerations (fuel consumption, NVH levels, emissions) into unified efficiency maps that combine these factors. The processor integrates data from fuel efficiency sensors, NVH sensors, and emission monitoring into consolidated maps that guide comprehensive power management decisions, reducing the need for separate control systems for each parameter.
Data Source
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AI summary
A system for intelligent power management for a vehicle includes a fuel efficiency sensor, a dynamometer, an noise, vibration, and/or harshness (NVH) sensor, and a measurement unit & map generator. The fuel efficiency sensor measures fuel efficiencies of the vehicle. The dynamometer senses torques and revolutions per minute (RPMs) of an internal combustion engine (ICE). The NVH sensor measures NVH level, for example noise and/or vibration levels, of the vehicle. The measurement unit & map generator produces an efficiency map including a plurality of fuel efficiency contours, a plurality of NVH level lines, and a plurality of power level curves. The efficiency map includes at least one vehicle operation point that corresponds to an acceptable NVH level and/or a desirable fuel efficiency, and that represents a desirable torque and a desirable RPM of the ICE.