The DOI matches its Crossref record.
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
Abstract
Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy. In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can be achieved is only slightly sub-optimal and the operations are charge-sustaining.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Di Cairano, S., Bernardini, D., Bemporad, A., & Kolmanovsky, I. V. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2272179 · Cited by 447
Hu, X., Zou, C., Tang, X., Liu, T., & Hu, L. (2020) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2019.2915675 · Cited by 423
Zhang, S., & Xiong, R. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.06.003 · Cited by 403
Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles
Silvas, E., Hofman, T., Murgovski, N., Etman, P., & Steinbuch, M. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2547897 · Cited by 323
Energy Management Power Converters in Hybrid Electric and Fuel Cell Vehicles
Lai, J.-S., & Nelson, D. J. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.890122 · Cited by 318
Metadata
- Authors
- Musardo, C., Rizzoni, G., & Staccia, B.
- Venue
- Proceedings of the 44th IEEE Conference on Decision and Control
- Publisher
- IEEE
- Published
- 2006-10-04
- Pages
- 1816-1823
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W1495870701
- Cited by
- 726
- References
- 0
- FWCI
- 26.35
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management. https://app.cochat.ai/papers/10.1109/cdc.2005.1582424
- The paper
- Musardo, C., Rizzoni, G., & Staccia, B. (2006). A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management. Proceedings of the 44th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2005.1582424
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
