NDLI: Improvement of operating strategy for parallel hybrid cars by adaptation to actual route and electrical on-board load

Content Provider	IEEE Xplore Digital Library
Author	Stiegeler, M. Bitzer, B. Kabza, H.
Copyright Year	2010
Description	Author affiliation: Insitute for Energy Conversion and Storage, University Ulm, Albert-Einstein-Allee 47, 89081, Germany (Stiegeler, M.; Bitzer, B.; Kabza, H.)
Abstract	An analytic operation strategy calculates the operation points for the combustion engine and the electric motor following a cost function to minimize the fuel consumption. To increase the lifetime of batteries the state of charge (SOC) range used should not be bigger than 10%. The limited usable SOC range and the low fuel consumption are conflicting goals. This paper shows that the cost function can be designed in a manner that a low fuel consumption and a well balanced SOC is possible. In addition, an adaptation of cost function parameters to the actual route can also increase SOC stability. Also the influence of the on-board load on the SOC can be controlled in a way that the SOC change can be kept within the allowed range. Thereby it is possible to minimize the effect of limited charge exchange on the functionality of the hybrid drive train and its capacity to save fuel.
Starting Page	1559
Ending Page	1563
File Size	769885
Page Count	5
File Format	PDF
ISBN	9781424476572
ISSN	21530017
e-ISBN	9781424476596
DOI	10.1109/ITSC.2010.5625033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-19
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System-on-a-chip Batteries Fuels Cost function Equations Ice Mathematical model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Control strategy simulation of hybrid electric vehicle

Neural adaptive control strategy for hybrid electric vehicles with parallel powertrain

Benefit of route recognition in energy management of plug-in hybrid electric vehicles

Energy management strategy design of plug-in hybrid electric bus based on Pontryagin's Minimum Principle

Predictive supervisory control strategy for parallel HEVs using former velocity trajectories

Fuzzy logic controller for energy management of power split hybrid electrical vehicle transmission

A real-time optimization control strategy for power management in fuel cell/battery hybrid power sources

Optimized control strategy for hybrid energy system

Obal optimization of hybrid electrical system to decrease fuel consumption or operating cost

Improvement of operating strategy for parallel hybrid cars by adaptation to actual route and electrical on-board load

Similar Documents

Control strategy simulation of hybrid electric vehicle

Neural adaptive control strategy for hybrid electric vehicles with parallel powertrain

Benefit of route recognition in energy management of plug-in hybrid electric vehicles

Energy management strategy design of plug-in hybrid electric bus based on Pontryagin's Minimum Principle

Predictive supervisory control strategy for parallel HEVs using former velocity trajectories

Fuzzy logic controller for energy management of power split hybrid electrical vehicle transmission

A real-time optimization control strategy for power management in fuel cell/battery hybrid power sources

Optimized control strategy for hybrid energy system

Obal optimization of hybrid electrical system to decrease fuel consumption or operating cost

Improvement of operating strategy for parallel hybrid cars by adaptation to actual route and electrical on-board load