Plug-in hybrid electric vehicle (PHEV) has two modes, using electric drive only (EV Mode) and using both electric drive with combustion engine (Hybrid HV mode). Typical PHEV energy management strategy will use EV mode until battery state of charge (SoC) is fully depleted and then switch to HV mode. This paper proposed energy management strategy which also take slope of the road into consideration which can be realized using additional inclinometer sensor or retrieving data in global positioning system (GPS). Through data acquisition using Prius PHEV, road profile and energy consumption model is derived. Performance evaluation is conducted using model and proposed strategy algorithm. It shows that proposed strategy can achieve less fuel consumption up to 1.4% compared to conventional strategy.

1.
C.
Zhang
and
A.
Vahidi
, “
Route Preview in Energy Management of Plug-in Hybrid Vehicles
,” in
IEEE Transactions on Control Systems Technology
, vol.
20
, no.
2
, pp.
546
553
, March
2012
.
2.
N.
Chang
,
D.
Baek
and
J.
Hong
, “
Power consumption characterization, modeling and estimation of electric vehicles
,”
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD
),
San Jose, CA
,
2014
, pp.
175
182
.
3.
A.
Taghavipour
,
M.
Vajedi
,
N.L.
Azad
,
J.
McPhee
,
Predictive Power Management Strategy for a PHEV Based on Different Levels of Trip Information
,
IFAC Proceedings Volumes
, Volume
45
, Issue
30
,
2012
.
4.
Yang
Zhou
,
Alexandre
Ravey
,
Marie-Cécile
Péra
,
A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles
,
Journal of Power Sources
, Volume
412
,
2019
.
5.
Shanshan
Xie
,
Jiankun
Peng
,
Hongwen
He
,
Plug-In Hybrid Electric Bus Energy Management Based on Stochastic Model Predictive Control
,
Energy Procedia
, Volume
105
,
2017
, Pages
2672
2677
,.
6.
Jianfei
Cao
,
Jiankun
Peng
,
Hongwen
He
,
Research on Model Prediction Energy Management Strategy with Variable Horizon
,
Energy Procedia
, Volume
105
,
2017
, Pages
3565
3570
.
7.
S. D.
Cairano
,
D.
Bernardini
,
A.
Bemporad
and
I. V.
Kolmanovsky
, “
Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management
,” in
IEEE Transactions on Control Systems Technology
, vol.
22
, no.
3
, pp.
1018
1031
, May
2014
.
8.
M.
Josevski
,
D.
Abel
,
Energy Management of Parallel Hybrid Electric Vehicles based on Stochastic Model Predictive Control
,
IFAC Proceedings Volumes
, Volume
47
, Issue
3
,
2014
.
9.
J.
Wang
,
Y.
Huang
,
H.
Xie
,
G.
Tian
,
Driving pattern prediction model for hybrid electric buses based on real-world driving data
,
EVS28 Int. Electr. Veh. Symp. Exhib.
2015
, pp.
1
9
.
10.
C.
Sun
,
S. J.
Moura
,
X.
Hu
,
J. K.
Hedrick
and
F.
Sun
, “
Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles\x
,” in
IEEE Transactions on Control Systems Technology
, vol.
23
, no.
3
, pp.
1075
1086
, May
2015
.
This content is only available via PDF.
You do not currently have access to this content.