Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios-Reference-Cited by-同舟云学术

Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios

Published:2023-12 Issue:12 Volume:24 Page:14174-14188
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Peng Jinghui¹,Zhang Fengqi²^ORCID,Coskun Serdar³^ORCID,Hu Xiaosong¹^ORCID,Yang Yalian¹,Langari Reza⁴^ORCID,He Jinsong⁵

Affiliation:

1. State Key Laboratory of Mechanical Transmission, College of Mechanical Engineering, Chongqing University, Chongqing, China

2. School of Automobile, Chang’an University, Xi’an, China

3. Department of Mechanical Engineering, Tarsus University, Mersin, Turkey

4. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

5. Beijing Institute of Technology Chongging Innovation Center, Bejjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

State Key Laboratory Research Project

Talent Plan Project of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10234667.pdf?arnumber=10234667

Reference46 articles.

1. Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus

2. Hybrid Electric Vehicles

3. Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications

4. Performance comparison of hybrid vehicle energy management controllers on real-world drive cycle data

5. A real-time adaptive signal control in a connected vehicle environment

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