Optimal Control of Plug-in Hybrid Electric Vehicle based on Pontryagin’s Minimum Principle Considering Driver’s Characteristic

Park, Kyu-Sik; Son, Hanho; Bae, Kyunggook; Kim, Yoonuk; Kim, Hyunhwa; Yun, Jeongseok; Kim, Hyunsoo

doi:10.5220/0006239901510156

Cited by 8 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In real conditions, the driving cycle is affected by numerous factors, for example, driver behaviors and traffic conditions. To this end, Park et al [68] investigated a PMP-based energy management strategy for plug-in HEVs incorporating the driver's characteristics to improve the adaptability of PMP.…”

Section: Pontryagin's Minimum Principle (Pmp)mentioning

confidence: 99%

Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook

et al. 2020

View full text Add to dashboard Cite

Hybrid Electric Vehicles (HEVs) have been proven to be a promising solution to environmental pollution and fuel savings. The benefit of the solution is generally realized as the amount of fuel consumption saved, which by itself represents a challenge to develop the right energy management strategies (EMSs) for HEVs. Moreover, meeting the design requirements are essential for optimal power distribution at the price of conflicting objectives. To this end, a significant number of EMSs have been proposed in the literature, which require a categorization method to better classify the design and control contributions, with an emphasis on fuel economy, providing power demand, and real-time applicability. The presented review targets two main headlines: (a) offline EMSs wherein global optimization-based EMSs and rule-based EMSs are presented; and (b) online EMSs, under which instantaneous optimization-based EMSs, predictive EMSs, and learning-based EMSs are put forward. Numerous methods are introduced, given the main focus on the presented scheme, and the basic principle of each approach is elaborated and compared along with its advantages and disadvantages in all aspects. In this sequel, a comprehensive literature review is provided. Finally, research gaps requiring more attention are identified and future important trends are discussed from different perspectives. The main contributions of this work are twofold. Firstly, state-of-the-art methods are introduced under a unified framework for the first time, with an extensive overview of existing EMSs for HEVs. Secondly, this paper aims to guide researchers and scholars to better choose the right EMS method to fill in the gaps for the development of future-generation HEVs.

show abstract

Section: Pontryagin's Minimum Principle (Pmp)mentioning

confidence: 99%

Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In real conditions, the driving cycle is influenced by numerous factors (e.g., driver behaviors and traffic conditions). Thus, to improve the adaptability of PMP, Park et al [20] investigated a PMP-based energy management strategy for plug-in HEV by considering the driver's characteristics. The PMP utilized in fuel cell hybrid vehicles is also developed in [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

“…1 ≤ g(t) ≤ 5 (19) Correspondingly, motor torque and gearshift command are selected as an optimal control input shown in Equation (20), which can be obtained by Equation ( 21) by satisfying the constraints in Equation (15).…”

Section: Optimization Of Gearshift Command and Torque Distributionmentioning

confidence: 99%

Computationally Efficient Energy Management in Hybrid Electric Vehicles Based on Approximate Pontryagin’s Minimum Principle

Zhang

Wang

Coşkun

et al. 2020

WEVJ

View full text Add to dashboard Cite

This article presents an energy management method for a parallel hybrid electric vehicle (HEV) based on approximate Pontryagin’s Minimum Principle (A-PMP). The A-PMP optimizes gearshift commands and torque distribution for overall energy efficiency. As a practical numerical solution in PMP, the proposed methodology utilizes a piecewise linear approximation of the engine fuel rate and state of charge (SOC) derivative by considering drivability and fuel economy simultaneously. Moreover, battery aging is explicitly studied by introducing a control-oriented model, which aims to investigate the effect of battery aging on the optimization performance in the development of the HEVs. An approximate energy management strategy with piecewise linear models is then formulated by the A-PMP, which targets a better performance for the Hamiltonian optimization. The gearshift map is extracted from the optimal results in the standard PMP to hinder frequent gearshift by considering both drivability and fuel economy. Utilizing an approximated Hamilton function, the torque distribution, gearshift command, and the battery aging degradation are jointly optimized under a unified framework. Simulations are performed for dynamic programming (DP), PMP, and A-PMP to validate the effectiveness of the proposed approach. The results indicate that the proposed methodology achieves a close fuel economy compared with the DP-based optimal solution. Moreover, it improves the computation efficiency by 50% and energy saving by 3.5%, compared with the PMP, while ensuring good drivability and fuel efficiency.

show abstract

Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing

Zhang

Xiao

Coşkun

et al. 2023

Energy

View full text Add to dashboard Cite

Optimal Control of Plug-in Hybrid Electric Vehicle based on Pontryagin’s Minimum Principle Considering Driver’s Characteristic

Cited by 8 publications

References 0 publications

Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook

Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook

Computationally Efficient Energy Management in Hybrid Electric Vehicles Based on Approximate Pontryagin’s Minimum Principle

Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing

Contact Info

Product

Resources

About