| ENERGY MANAGEMENT STRATEGY CONSIDERING SPEED
FEATURE RECOGNITION AND CABIN NOISE CONSTRAINT FOR
HYBRID COMMERCIAL VEHICLES |
| Jian Feng , Zhiyu Han , Minqing Li |
| School of Automotive Studies, Tongji University |
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| ABSTRACT |
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The fuel economy and ride comfort of range-extender electric vehicles are closely related to the adopted energy
management strategy (EMS). The appropriate EMS with noise constraints can not only effectively reduce fuel consumption,
but improve ride comfort during vehicle travel. To this end, an EMS was proposed in this paper in which an adaptive equivalent
consumption minimization method was developed considering the noise level in the driving cabin based on vehicle speed
feature recognition so that the vehicle fuel economy and ride comfort can be optimized simultaneously through a calibratable
cost function. The linear state of charge reference trajectory based on the route information, which could be obtained by a
mileage-indication knob equipped in the cockpit, was employed to determine the start-stop of the range-extender. The proposed
strategy was verified on the road in a light-duty range-extender electric van. The results were compared with those obtained
from the conventional equivalent consumption minimization strategy and a dynamic equivalent consumption minimization
strategy. The experimental results indicated that the proposed strategy could reduce the vehicle fuel consumption by 3.28 %
and 1.40 %, respectively, on an urban-suburban integrated route. Moreover, the ride comfort indicated by the noise level in the
driving cabin was better as well. |
| Key Words:
Energy management strategy, Speed feature recognition, Cabin noise constraint, Hybrid commercial vehicle,
Route information acquisition, Vehicle test |
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Corresponding Author.
Zhiyu Han , Email. 
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