Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Energy-heat integrated real-time management system for intelligent networked hybrid vehicles

A hybrid electric vehicle and management system technology, which is applied in the field of energy saving control of hybrid electric vehicles, can solve problems such as inability to guarantee vehicle fuel economy, and achieve the effects of improving online optimization solution efficiency, improving fuel economy, and enhancing energy-saving adaptability.

Active Publication Date: 2022-02-01
JILIN UNIV
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Nevertheless, the existing technology still needs to be further improved. The engine is the source of the vehicle power chain and heat chain, and energy optimization control and thermal management are "independently fighting". There is still a gap in the field, and it is impossible to guarantee that the fuel economy of the vehicle is optimal under all weather conditions
In addition, how to use dynamic network information to provide support for energy-heat integrated management still faces many technical bottlenecks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Energy-heat integrated real-time management system for intelligent networked hybrid vehicles
  • Energy-heat integrated real-time management system for intelligent networked hybrid vehicles
  • Energy-heat integrated real-time management system for intelligent networked hybrid vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0199] In order to improve the adaptability of hybrid electric vehicle energy-saving technology under all weather conditions and maximize the energy-saving potential of the whole vehicle, the present invention proposes an intelligent network-linked hybrid electric vehicle energy-heat integrated real-time management system (iPTMS) . On the basis of the traditional energy management system, the system considers the influence of the temperature effect of the thermal chain and the future driving state on the energy consumption of the whole vehicle. fuel economy. In order to fully consider future driving behavior, the present invention combines network information of different time scales to perform multi-scale prediction of future vehicle speed, and provides multi-scale prediction reference information for iPTMS. Aiming at the multi-time-scale energy efficiency optimization problem involved in iPTMS, the present invention proposes a layered optimization control framework based on...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An intelligent network-linked hybrid electric vehicle energy-heat integrated real-time management system belongs to the technical field of energy-saving control of hybrid electric vehicles. The purpose of the present invention is to provide real-time dynamic traffic preview information by using network information, and to consider the temperature effect of the thermal chain in the optimization of vehicle energy efficiency. The energy-heat integrated real-time management system for intelligent networked hybrid electric vehicles with further improved fuel economy. The steps of the present invention are: combining traffic flow cloud data to collect real-time traffic information flow on all road sections, determining the global route, combining the speed information of queues on the driving route, and transmitting the vehicle speed prediction results of long and short time scales to the hybrid vehicle power chain ‑The thermal chain dynamic coupling mechanics prediction module uses the long- and short-time-scale vehicle speed information provided by the multi-scale vehicle speed prediction module to design a real-time SOC trajectory optimization controller. The invention improves the online optimization solution efficiency and ensures the real-time performance of the system.

Description

technical field [0001] The invention belongs to the technical field of energy-saving control of hybrid electric vehicles. Background technique [0002] In recent years, with the continuous expansion of car ownership, the problem of energy consumption has become more and more serious. Hybrid technology combines the technical advantages of traditional internal combustion engine vehicles and pure electric vehicles. Compared with traditional internal combustion engine vehicles, it can greatly improve fuel economy and is an effective solution for energy saving and emission reduction of vehicles. [0003] At present, hybrid electric vehicles use energy management technology to optimize the distribution of the driving energy of the engine and electric motor in the power chain, so as to meet the driver's power demand and improve the fuel economy of the vehicle at the same time. However, the engine is not only the source of the power chain but also the source of the heat chain (the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): B60W20/11B60W40/105B60W50/00
CPCB60W20/11B60W40/105B60W50/00B60W2520/10B60W2554/4042B60W2050/0034B60W2050/0037B60W2050/0039Y02T10/84
Inventor 宫洵汪介瑜吕良麻宝林胡云峰刘奇芳高炳钊陈虹
Owner JILIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products