Trip-Oriented Energy Management Control for PHEV Battery Depletion
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Solution Overview
Problem
The complexity of energy management in plug-in hybrid electric vehicles (PHEVs) increases due to the added electric energy source, making it challenging to optimize energy consumption and minimize operational costs while ensuring drivability, as existing strategies are not effectively optimized with real-time or trip-specific data.
Innovation Solution
A Trip-Oriented Energy Management Control (TEMC) strategy that uses scalable trip foreknowledge to pre-plan battery SOC depletion and fuel consumption, incorporating feedback control mechanisms to adaptively optimize energy consumption based on trip-specific characteristics, such as route and driver behavior, to achieve efficient power split between fuel and electricity sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a standard EMC strategy is used to operate the PHEV in electric drive mode or maximize battery power output, then fuel efficiency is improved, but the complexity of energy management control increases due to the added electric energy source and more frequent recharge expectations
Solution Approach 1:
The patent applies preliminary action by using trip foreknowledge (pre-planned route information, recharge locations, and trip characteristics) to pre-determine the optimal energy management strategy before the trip begins. This allows the control system to plan battery SOC depletion and fuel consumption in advance, reducing the real-time control complexity while maintaining optimized fuel efficiency throughout the trip.
2Adaptability or versatility
If the PHEV utilizes a larger capacity battery pack with two sources of energy (fuel and electricity), then energy flexibility is improved, but the complexity of the control system strategy increases
Solution Approach 1:
The system uses trip foreknowledge to pre-plan the energy management strategy, determining optimal battery SOC depletion profiles and fuel consumption rates before the trip begins. This preliminary planning simplifies the control strategy by providing a predetermined roadmap for managing multiple energy sources, reducing the need for complex real-time decision-making while maintaining energy flexibility.
Solution Approach 2:
The patent incorporates feedback control mechanisms that continuously monitor actual trip characteristics and compare them with the pre-planned energy management strategy. This feedback allows the system to adaptively adjust the control strategy in real-time, maintaining optimal performance despite deviations from the planned route or driving conditions, thereby managing the complexity of coordinating multiple energy sources.
3Use of energy by moving object
If the battery SOC is depleted to maximize electric energy usage, then operational costs are reduced, but the risk of insufficient charge for upcoming trips increases
Solution Approach 1:
The system uses trip foreknowledge to pre-plan battery SOC depletion strategies that maximize electric energy usage during the current trip while ensuring sufficient charge remains for upcoming trips. By considering the entire trip sequence and recharge opportunities in advance, the system optimizes operational costs without compromising the reliability of charge availability for future travel needs.
Data Source
AI summary
An engine, electric machine and battery of a vehicle are operated such that a state of charge of the battery generally decreases and then achieves approximately a charge-depletion-to-charge-sustaining transition threshold after the vehicle has been driven a distance greater than the pure electrical range of the vehicle.