Hybrid Powertrain Trip-Aware Energy Split Control
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Solution Overview
Problem
Conventional hybrid electric vehicles (HEVs) lack real-time energy consumption optimization, relying on predefined engine/ZEV split curves that do not account for the entire vehicle trip length, leading to inefficient energy use and battery depletion.
Innovation Solution
A control system that monitors hybrid powertrain parameters, determines trip energy needs, and adjusts engine/ZEV split in real-time based on battery state of charge and trip information, using calibrated look-up tables or multi-dimensional surfaces to optimize energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If predefined engine/ZEV split curves are used for hybrid powertrain control, then the control system is simple to implement, but the energy consumption is not optimized for the entire trip length
Solution Approach 1:
The patent implements dynamic adjustment of engine/ZEV split control parameters based on real-time trip length detection. The control system transitions from static predefined curves to dynamic parameter adjustment, where the engine/ZEV split point is continuously optimized according to the detected remaining trip distance, thereby reducing energy consumption without excessive complexity increase
Solution Approach 2:
The patent changes the control parameter from fixed engine/ZEV split curves to variable parameters based on trip length. By detecting the remaining trip length and adjusting the engine/ZEV split point accordingly, the system optimizes energy consumption through parameter adaptation rather than complex system architecture
2Reliability
If the battery system is used for electric-only propulsion without real-time optimization, then the vehicle operates in ZEV mode, but the battery may be depleted before completing the trip
Solution Approach 1:
The patent performs preliminary detection of trip length at the beginning of the journey and uses this information to pre-plan the engine/ZEV split strategy. By knowing the total trip distance in advance, the control system can determine the optimal point to switch from electric-only to hybrid mode, ensuring the battery is not depleted before trip completion while maximizing electric propulsion usage
Solution Approach 2:
The patent implements feedback control by continuously monitoring the remaining trip length and adjusting the engine/ZEV split point in real-time. The control system receives feedback from trip length detection and modifies the powertrain operation strategy accordingly, optimizing both trip completion reliability and battery energy usage through closed-loop control
3Quantity of substance
If the engine is operated frequently to recharge the battery, then the battery energy level is maintained, but the fuel economy deteriorates due to engine inefficiency
Solution Approach 1:
The patent determines the optimal engine/ZEV split point in advance based on detected trip length, avoiding frequent engine start-stop operations. By pre-calculating the split point where engine operation becomes necessary, the system maintains battery energy levels while minimizing the duration and frequency of engine operation, thereby reducing fuel consumption
Data Source
AI summary
An energy consumption optimization method for a hybrid electric vehicle (HEV) having a hybrid powertrain includes obtaining a plurality of operating parameters of the hybrid powertrain, the hybrid powertrain comprising one or more electric traction motors powered by a battery system and an engine configured to drive the HEV and selectively recharge the battery system, obtaining trip information indicative of a length or duration of a current trip of the HEV, determining a remaining energy in the battery system based on the plurality of operating parameters of the hybrid powertrain, determining a trip energy needed for the hybrid powertrain to complete the current trip of the HEV based on a plurality of operating parameters of the hybrid powertrain and the trip information, comparing the remaining energy in the battery system to the trip energy, and controlling operation of the hybrid powertrain based on the comparing.