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Predictive Energy Management in Plug-in Hybrid Electric Vehicles

Total Cost €


EC-Contrib. €






Project "pPHEV" data sheet

The following table provides information about the project.


Organization address
address: College Road
postcode: MK43 0AL

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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.

# participants  country  role  EC contrib. [€] 


 Project objective

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
List of publications.
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.

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