Comparative Study of Real-Time HEV Energy Management Strategies

Jiang, Qi; Ossart, Florence; Marchand, Claude

doi:10.1109/tvt.2017.2727069

Cited by 69 publications

(18 citation statements)

References 30 publications

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“…In addition, the importance of the journey mapping and driving conditions (e.g. pavement, weather, and traffic) is highlighted by several researchers [83] and [128]. Once more, driving simulation can be a powerful tool, reducing design timing and cost, providing controlled environments, and allowing integration of technologies beforehand.…”

Section: Powertrain Systems Developmentmentioning

confidence: 99%

A Review of Driving Simulation Technology and Applications

Bruck

Haycock

Emadi

2021

IEEE Open J. Veh. Technol.

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Driving simulation has become a very useful tool for vehicle design and research in industry and educational institutes. This paper provides a review of driving simulator components, including the vehicle dynamics model, the motion system, and the virtual environment, and how they interact with the human perceptual system in order to create the illusion of the driving. In addition, a sample of current state-of-the-art vehicle simulators and algorithms are described. Finally, current applications are discussed, such as driver-centered studies, chassis and powertrain design, and autonomous systems development.

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Section: Powertrain Systems Developmentmentioning

confidence: 99%

A Review of Driving Simulation Technology and Applications

Bruck

Haycock

Emadi

2021

IEEE Open J. Veh. Technol.

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“…The values of the parameters in (8) are all listed in Table 1. Also, in order to express the vehicle acceleration v′(k), (9) and (10) are applied…”

Section: First Stage: Pre-trip Soc and Speed Optimisationmentioning

confidence: 99%

“…However, DP is not a causal solution since it requires full knowledge of the entire trip. In [10][11][12][13], equivalent consumption minimisation strategy method is conducted for real-time application purpose. This algorithm uses an equivalent index between electricity and fuel consumption to minimise the cost function.…”

Section: Introductionmentioning

confidence: 99%

Distance‐oriented hierarchical control and ecological driving strategy for HEVs

Zhang

Lim

et al. 2019

IET Electrical Systems in Transportation

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Hybrid electric vehicles (HEVs) provide a promising alternative to conventional engine-powered vehicles, with less emission and better fuel economy. This study proposes a hierarchical control for a power-split HEV over a driving cycle, featuring pre-trip optimisation and en-route speed adaption. Constraints including vehicle powertrain boundaries, road gradients, and speed limits, are taken into consideration. In the first stage, the HEV operating conditions, including the optimal vehicle SOC, speed profiles, and total driving time, are generated for the entire trip before departure. Based on the pre-trip results, the second stage adapts the vehicle speed for a short horizon when driving, while taking the safety spacing to the preceding vehicle into consideration, which acts as an indicator of actual traffic conditions and guarantees safe driving. Both optimisations are conducted under the distance domain for realising localisation in the optimal speed profile due to frequent changes in traffic conditions. An estimation of distribution algorithm is used to run the simulation so that the feasibility, robustness, and effectiveness of the proposed hierarchical control can be demonstrated.

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“…Since PMP is the basis of ECMS, complete driving cycles are needed to solve the optimal control rate under the constraint conditions. The goal of the optimal energy management of a hybrid electric vehicle is that: the power of APU and the battery pack is allocated to minimize the fuel consumption while meeting the driver's required power P req [27]. For extended-range vehicles, since the APU and transmission system are decoupled, the working points of APU can be randomly selected under the premise of meeting the constraint conditions.…”

Section: Pmp Algorithm Formulationmentioning

confidence: 99%

An Adaptive-Equivalent Consumption Minimum Strategy for an Extended-Range Electric Bus Based on Target Driving Cycle Generation

et al. 2018

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Energy management strategies based on instantaneous optimization have been widely used in hybrid/plug-in hybrid electric vehicles (HEV/PHEV) in order to improve fuel economy while guaranteeing vehicle performance. In this study, an adaptive-equivalent consumption minimum strategy (A-ECMS) based on target driving cycle (TDC) generation was proposed for an extended-range electric bus (E-REB) operating on fixed routes. Firstly, a Hamilton function and a co-state equation for E-REB were determined according to the Pontryagin Minimum Principle (PMP). Then a series of TDCs were generated using Markov chain, and the optimal solutions under different initial state of charges (SOCs) were obtained using the PMP algorithm, forming the optimal initial co-state map. Thirdly, an adaptive co-state function consisting of fixed and dynamic terms was designed. The co-state map was interpolated using the initial SOC data and the vehicle driving data obtained by an Intelligent Transport System, and thereby the initial co-state values were solved and used as the fixed term. A segmented SOC reference curve was put forward according to the optimal SOC changing curves under different initial SOCs solved by using PMP. The dynamic term was determined using a PI controlling method and by real-time adjusting the co-states to follow the reference curve. Finally with the generated TDCs, the control effect of A-ECMS was compared with PMP and Constant-ECMS, which was showed A-ECMS provided the final SOC closer to the pre-set value and fully used the power of the batteries. The oil consumption solutions were close to the PMP optimized results and thereby the oil depletion was reduced.

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Comparative Study of Real-Time HEV Energy Management Strategies

Cited by 69 publications

References 30 publications

A Review of Driving Simulation Technology and Applications

A Review of Driving Simulation Technology and Applications

Distance‐oriented hierarchical control and ecological driving strategy for HEVs

An Adaptive-Equivalent Consumption Minimum Strategy for an Extended-Range Electric Bus Based on Target Driving Cycle Generation

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