Energy Management Control of Microturbine-Powered Plug-In Hybrid Electric Vehicles Using the Telemetry Equivalent Consumption Minimization Strategy

Geng, Bo; Mills, James K.; Sun, Dong

doi:10.1109/tvt.2011.2172646

Cited by 109 publications

(39 citation statements)

References 41 publications

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“…Their system is simulated using a Ford Escape Hybrid model; it revealed the system was effective in finding out congestion level, optimal battery power and optimal speed. Geng et al, proposed a control mechanism for energy management for a PHEV employing batteries and a micro turbine in [174]. In this work, they introduced a new parameter, named the "energy ratio", to produce the equivalent factor (EF) which was used in the popular Equivalent Consumption Minimization Strategy (ECMS) to deduce the minimum driving cost by applying Pontryagin's minimum principle.…”

Section: Factor Hurdlesmentioning

confidence: 99%

“…It was eventually implemented in a hardware arrangement built around a 600 W fuel cell arrangement. In an attempt to create an energy management system for a still-not-commercialized PHEV employing a micro turbine, Geng et al, used an equivalent consumption minimization strategy (ECMS) in [174] to estimate the optimum driving cost. Their system used the battery SOC and the vehicle telemetry to produce the results, which were available in real time and provided driving cost reductions of up to 21.6%.…”

Section: Control Algorithmsmentioning

confidence: 99%

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A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

et al. 2017

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Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid ElectricVehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. This paper is focused on reviewing all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.

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Section: Factor Hurdlesmentioning

confidence: 99%

Section: Control Algorithmsmentioning

confidence: 99%

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

et al. 2017

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“…The equivalent consumption minimization strategy (ECMS) has been widely described in the literature, both as a proposed SCS as well as for benchmarking [20]- [22]. There are many variants, but the present work implements a globally tuned ECMS (GECMS), based on [21].…”

Section: Global Equivalent Consumption Minimization Strategymentioning

confidence: 99%

Exclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles

Shabbir

Evangelou

2016

IEEE Trans. Contr. Syst. Technol.

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Abstract-Supervisory control systems (SCSs) are used to manage the powertrain of hybrid electric vehicles (HEV). This paper presents a novel SCS called Exclusive operation strategy (XOS) that applies simple rules based on the idea that batteries are efficient at lower loads while engines and generators are efficient at higher loads. The XOS is developed based on insights gained from three conventional SCSs for series HEVs: Thermostat control strategy (TCS), Power follower control strategy (PFCS) and Global equivalent consumption minimization strategy (GECMS). Also, recent technological developments have been considered to make the XOS more suited to modern HEVs than conventional SCSs. The resulting control decisions are shown to emulate the operation of approximate global optimal solutions and thus achieve significant improvement in fuel economy as compared to TCS and PFCS. In addition, the generally linear relationship between required power and engine power for the XOS provides auditory cues to the driver that are comparable to conventional vehicles, thus reducing barriers to adopting HEVs. The simplicity and effectiveness of the XOS makes it a practical SCS.

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“…In HEV case, the model predictive control has proved effective, as reported in [19]- [21], as well as the optimal control approach based upon Pontryagin's minimum principle and dynamic programming supposing a priori known driving conditions [22]- [24]. Effectiveness of adaptive strategies in the case of Pontryagin's-principle-based control for HEV is also investigated [25].…”

Section: Introductionmentioning

confidence: 99%

LQG Optimal Control Applied to On-Board Energy Management System of All-Electric Vehicles

Florescu

Bratcu

Munteanu

et al. 2015

IEEE Trans. Contr. Syst. Technol.

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International audienceThis paper proposes a general frequency-separation-based strategy of coordinating power sources within off-grid applications. The application chosen to illustrate this strategy is an electric vehicle equipped with two power sources---a battery and an ultracapacitor (UC)---for which coordination problem can be formulated and solved as a linear quadratic Gaussian (LQG) optimal control problem. The two power sources are controlled to share the stochastically variable load according to their respective frequency range of specialization: low-frequency variations of the required power are supplied by the main source, the battery, whereas high-frequency variations are provided by the UC. The studied system is a bilinear one; it can be modeled as a linear parameter varying system. An LQG-based optimal control structure is designed and coupled with a gain-scheduling structure to cover the entire operating range. In this way, load regulation performance and the variations of battery current are conveniently traded off to preserve battery reliability and lifetime. Real-time experiments on a dedicated test rig---based on employing a real UC---validate the proposed optimal power flow management approach

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Energy Management Control of Microturbine-Powered Plug-In Hybrid Electric Vehicles Using the Telemetry Equivalent Consumption Minimization Strategy

Cited by 109 publications

References 41 publications

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

Exclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles

LQG Optimal Control Applied to On-Board Energy Management System of All-Electric Vehicles

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