Explore the words cloud of the pPHEV project. It provides you a very rough idea of what is the project "pPHEV" about.
The following table provides information about the project.
Coordinator |
CRANFIELD UNIVERSITY
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Total cost | 146˙591 € |
EC max contribution | 146˙591 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2015 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2017 |
Duration (year-month-day) | from 2017-01-01 to 2018-06-30 |
Take a look of project's partnership.
# | ||||
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1 | CRANFIELD UNIVERSITY | UK (CRANFIELD - BEDFORDSHIRE) | coordinator | 146˙591.00 |
Plug-in hybrid vehicles (PHEV) offer an ample alternative for low-carbon road mobility, which however impose a significantly challenge on maximising energy efficiency and driving autonomy. This pPHEV project aims at addressing this challenge by developing a predictive energy management system for PHEVs as well as realise an advanced career development for the experienced researcher using a clearly defined training-through-research approach. This proposed predictive control management will benefit from and integrate driver driving style information, and dynamic traffic and speed information within this project, along with a few on-going vehicle electrification and intelligence research activities at Cranfield University. This fellowship provides an excellent opportunity for the experienced researcher to advance the career training to secure a leading independent position at the end of the fellowship. The research outcomes will offer a step change in PHEV energy management, and promote knowledge sharing among different EV/HEV-related communities. The pPHEV project will not only advance the research, innovation and development of future PHEVs, but will also improve public awareness of smart green transport.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Teng Liu, Xiaosong Hu, Shengbo Eben Li, Dongpu Cao Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle published pages: 1497-1507, ISSN: 1083-4435, DOI: 10.1109/TMECH.2017.2707338 |
IEEE/ASME Transactions on Mechatronics 22/4 | 2019-06-13 |
2018 |
Chen Lv, Xiaosong Hu, Alberto Sangiovanni-Vincentelli, Clara Marina, Yutong Li, Dongpu Cao Driving-Style-Based Co-Design Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach published pages: 1-1, ISSN: 0278-0046, DOI: 10.1109/TIE.2018.2850031 |
IEEE Transactions on Industrial Electronics | 2019-06-13 |
2018 |
Teng Liu, Xiaosong Hu A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle published pages: 1616-1625, ISSN: 1551-3203, DOI: 10.1109/TII.2018.2797322 |
IEEE Transactions on Industrial Informatics 14/4 | 2019-06-13 |
2018 |
Huanxin Pei, Xiaosong Hu, Yalian Yang, Xiaolin Tang, Cong Hou, Dongpu Cao Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear published pages: 103-116, ISSN: 0306-2619, DOI: 10.1016/j.apenergy.2018.01.070 |
Applied Energy 214 | 2019-06-13 |
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The information about "PPHEV" are provided by the European Opendata Portal: CORDIS opendata.