Energy-based debounce of mode shift frequency for optimization-based hybrid vehicle control strategies

Trautmann, Carsten; Fugel, Markus; Küçükay, Ferit

doi:10.1007/s41104-022-00105-9

Automot. Engine Technol.

2022

DOI: 10.1007/s41104-022-00105-9

|View full text |Cite

Energy-based debounce of mode shift frequency for optimization-based hybrid vehicle control strategies

Carsten Trautmann

Markus Fugel

Ferit Küçükay³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Energy Based Hysteresis for Real-Time State Optimization in Hybrid Torque Controls

Kudupley,

Mawardi,

Patel

2024

SAE Technical Paper Series

View full text Add to dashboard Cite

<div class="section abstract"><div class="htmlview paragraph">Through real-time online optimization, the full potential of the performance and energy efficiency of multi-gear, multi-mode, series–parallel hybrid powertrains can be realized. The framework allows for the powertrain to be in its most efficient configuration amidst the constantly changing hardware constraints and performance objectives. Typically, the different gears and hybrid/electric modes are defined as discrete states, and for a given vehicle speed and driver power demand, a formulation of optimization costs, usually in terms of power, are assigned to each discrete states and the state which has the lowest cost is naturally selected as the desired of optimum state. However, the optimization results would be sensitive to numerical exactitude and would typically lead to a very noisy raw optimum state. The generic approach to stabilization includes adding hysteresis costs to state-transitions and time-debouncing. These added costs could result in systems remaining in sub-optimal states during steady state operation when the hysteresis thresholds are not overcome. This paper proposes an improved hysteresis framework where time-dependent and transition cost considerations are integrated into the optimization. The results show that this method produces an improved stability while maintaining a level of energy efficiency compared to the existing hysteresis method.</div></div>

show abstract

Energy Based Hysteresis for Real-Time State Optimization in Hybrid Torque Controls

Kudupley,

Mawardi,

Patel

2024

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

Towards an Analytical Method for a Combined Energy Management and Shift Strategy in Hybrid Electric Vehicles, and Its Rule-Based Implementation

Ehrenberg,

Engbroks,

Schmiedler

et al. 2024

SAE Technical Paper Series

View full text Add to dashboard Cite

<div class="section abstract"><div class="htmlview paragraph">In conventional vehicles the shift strategy has a well-known impact on the system’s efficiency. An appropriate gear choice allows the internal combustion engine (ICE) to operate in efficient operating points (OPs) and thus contributes significantly to a reduced fuel consumption. Further efficiency improvements can be achieved by the hybridization of the powertrain. Due to the two propulsion systems, an additional degree of freedom arises, that requires an energy management strategy (EMS). The EMS controls the split of the requested power between the electric machine (EM) and the ICE. Accordingly, the system’s overall efficiency in hybrid electric vehicles (HEVs) is highly influenced by the quality of the EMS. This paper proposes to adapt an existing method for deriving fuel-optimal rule-based EMS by including the shift strategy for parallel HEVs. It is shown that fuel-optimal control can be achieved. The analytically derived look-up tables can be used to automatically calibrate in-vehicle EMS and the shift strategy for HEVs. The fuel-optimal shift strategy is characterized by high shift frequency, which hinders a straightforward in-vehicle integration. To further pave the way towards in-vehicle implementation, hysteresis based on energetic characteristics are proposed and a method for implementation in rule-based EMS is deduced. Finally, the benefits of coupling the shift strategy and EMS are depicted by an analysis of charging the battery (BAT) during vehicle operation. This exemplary study proves that the presented strategy allows operation at higher efficiency while improving the electric driving (ED) share. This positive effect is made possible by operating the ICE at higher speeds, which enables a more efficient charging of the BAT and additionally less energetic expenditure for boosting and lowering the ICEs OPs.</div></div>

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Energy-based debounce of mode shift frequency for optimization-based hybrid vehicle control strategies

Cited by 2 publications

References 17 publications

Energy Based Hysteresis for Real-Time State Optimization in Hybrid Torque Controls

Energy Based Hysteresis for Real-Time State Optimization in Hybrid Torque Controls

Towards an Analytical Method for a Combined Energy Management and Shift Strategy in Hybrid Electric Vehicles, and Its Rule-Based Implementation

Contact Info

Product

Resources

About