The DOI matches its Crossref record.
Modeling and Simulation of Electric and Hybrid Vehicles
Abstract
This chapter addresses different modeling and simulation methods for electric and hybrid vehicles. It begins by reviewing the fundamentals of vehicle system modeling. The chapter then provides an overview of the existing vehicle modeling tools Advanced Vehicle Simulator (ADVISOR) and powertrain system analysis toolkit (PSAT), with application examples, using ADVISOR to study a hybrid battery-ultracapacitor energy storage system, and using PSAT to optimize a parallel powertrain design. It further looks at physics-based dynamic modeling, introducing the resistive companion form (RCF) of modeling method with examples of a DC machine, a DC-DC boost power converter, and vehicle dynamics including a wheel slip model. The chapter also looks at bond graphs and other modeling tools such as PSIM, Simplorer, V-ELPH, Saber, and Modelica for hybrid powertrain modeling. Finally, it outlines the issue and mitigation methods of numerical oscillations for dynamic simulation involving power electronics.
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
Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling
Chan, C. C., Bouscayrol, A., & Chen, K. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2033605 · Cited by 792
Power-based electric vehicle energy consumption model: Model development and validation
Fiori, C., Ahn, K., & Rakha, H. A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.097 · Cited by 641
An LLC Resonant DC–DC Converter for Wide Output Voltage Range Battery Charging Applications
Musavi, F., Craciun, M., Gautam, D. S., Eberle, W., & Dunford, W. G. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2013.2241792 · Cited by 498
Schaltz, E., Khaligh, A., & Rasmussen, P. O. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2027909 · Cited by 357
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
Metadata
- Venue
- Hybrid Electric Vehicles
- Publisher
- Wiley
- Published
- 2017-09-15
- Pages
- 409-431
- OpenAlex
- W4240692002
- Cited by
- 320
- References
- 0
- Type
- other
- 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: Modeling and Simulation of Electric and Hybrid Vehicles. https://app.cochat.ai/papers/10.1002/9781118970553.ch14
- The paper
- Modeling and Simulation of Electric and Hybrid Vehicles. (2017). Hybrid Electric Vehicles. https://doi.org/10.1002/9781118970553.ch14
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.
