Robust proportional ECMS control of a parallel hybrid electric vehicle

Enang, Wisdom; Bannister, Christopher D

doi:10.1177/0954407016659198

Cited by 23 publications

(24 citation statements)

References 39 publications

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“…This simple example is meant to illustrate that in order to make a fair comparison of the energy consumption for different strategies, it is necessary to account for the energy left in the battery. Hence, similarly to [19] and [45], a total equivalent fuel mass is defined considering the fuel savings obtained by not providing the net amount of energy supplied by the battery through the thermal path, i.e. :…”

Section: Simulation Resultsmentioning

confidence: 99%

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Adaptive Equivalent Consumption Minimization Strategy With Rule-Based Gear Selection for the Energy Management of Hybrid Electric Vehicles Equipped With Dual Clutch Transmissions

et al. 2020

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Based on observations of the behaviour of the optimal solution to the problem of energy management for plug-in hybrid electric vehicles, a novel real-time Energy Management Strategy (EMS) is proposed. In particular, dynamic programming results are used to derive a set of rules aiming at reproducing the optimal gearshift schedule in electric mode while the Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is employed to decide the powertrain operating mode and the current gear when power from the internal combustion engine is needed. In terms of total fuel consumption, simulations show that the proposed approach yields results that are close to the optimal solution and also outperforms those of the A-ECMS, a well-known EMS. One of the main aspects that differentiates the strategy here proposed from previous works is the introduction of a model to use physical considerations to estimate the energy consumption during gearshifts in dual-clutch transmissions. This, together with a series of properly tuned fuel penalties allows the controller to yield results in which there is no gear hunting behaviour.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Moreover, the US06 driving cycle (see Fig. 21), which is representative of aggressive highway driving conditions in the USA ( [45]), is also considered. The cycle is characterized by portions with rapid speed fluctuations and high acceleration ( [46]).…”

Section: Simulation Resultsmentioning

confidence: 99%

Adaptive Equivalent Consumption Minimization Strategy With Rule-Based Gear Selection for the Energy Management of Hybrid Electric Vehicles Equipped With Dual Clutch Transmissions

et al. 2020

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“…By defining an equivalent fuel cost for battery energy, the ECMS solves the optimal power split at each time instant rather than over a time horizon. 19,20 The equivalent factor (EF) is quite sensitive to the ECMS, which proves to be very difficult to calculate. Many researchers proposed modified ECMS.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective real-time optimization energy management strategy for plug-in hybrid electric vehicle

Yang

Liu

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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Plug-in hybrid electric vehicle provides remarkable results for emission reduction and fuel improvement in the current driving cycles. With the appropriate energy management strategy, the torque can be split by switching of multiple operation modes to improve fuel economy. However, in the process, not only the noticeable jerk or torque fluctuation, which may result in vibration of the drivetrain and unpleasant driving sensation, but also the frequent motor-start-engine process would be triggered, which is accompanied by extra fuel consumption and abrasion of the clutch. Therefore, high attention should be paid to reduce the excess operating times of the motor-start-engine process and take advantage of multiple operation modes to improve fuel economy in plug-in hybrid electric vehicle. To solve this problem, a multi-objective real-time optimization energy management strategy is proposed. First, the motor-start-engine dynamic model of 2-degree-of-freedom is established. Then, the motor-start-engine process is analyzed based on a large number of real-world data, and the cost of the motor-start-engine process is quantified for optimization. What’s more, the optimal torque distribution is realized through the powertrain system. Finally, the proposed strategy is verified by the simulation and experiment platform. Results show that the proposed strategy can greatly improve fuel economy, thereby reducing the excess operating times of the motor-start-engine process.

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“…The calculation of the charge balanced estimated fuel consumption (EFC) requires an optimal control algorithm to be implemented. Many solutions can be found to solve the energy management problem: 20 the equivalent consumption minimization strategy (ECMS), 21,22 the bond-graph technique, 23 the rule-based control, 24 dynamic programming (DP), 25–28 the Pontryagin’s minimum principle (PMP), 29,30 and convex optimization. 31 Among these techniques, DP seems the most promising in generating optimal results.…”

Section: Introductionmentioning

confidence: 99%

Rapid optimal design of a multimode power split hybrid electric vehicle transmission

Anselma

Huo

Roeleveld

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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This work aims at presenting a design methodology capable of modeling, generating, and testing a large number of multimode power split hybrid electric vehicle transmission designs in a relatively short period of time. Design parameters include the planetary gear ratios, the final drive ratio, the configuration of hookups to link the hybrid powertrain components to the planetary gear sets and the locations of clutch connections between different nodes of the planetary gear sets. The system modeling approach is first presented, including formulations for each component (the vehicle and road load, the engine, the motor/generators and the battery). A rapid and automated modeling procedure is proposed for hybrid electric vehicle transmissions including multiple planetary gear sets and clutch connections. Two algorithms are subsequently presented that enable fast evaluation of fuel economy and acceleration performance of hybrid electric vehicle transmission designs, namely the enhanced Power-Weighted Efficiency Analysis for Rapid Sizing and the Rapid Efficiency-based Launching Performance Analysis algorithms. The developed design methodology is tested by first modeling and evaluating three hybrid electric vehicle designs from the state-of-art. Later, an investigation for optimal designs that can ameliorate the examined benchmarks is performed. Several millions of design options are rapidly generated and tested using the proposed procedure. The methodology is proved effective by quickly coming up with two sub-optimal designs. Fuel economy and acceleration performance are improved by 5.56% and 40.56%, respectively, compared to the corresponding best benchmarks.

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Robust proportional ECMS control of a parallel hybrid electric vehicle

Abstract: Improved fuel efficiency in hybrid electric vehicles, requires a fine balance between internal combustion engine usage and battery energy, using a carefully designed energy management control algorithm.

Cited by 23 publications

References 39 publications

Adaptive Equivalent Consumption Minimization Strategy With Rule-Based Gear Selection for the Energy Management of Hybrid Electric Vehicles Equipped With Dual Clutch Transmissions

Adaptive Equivalent Consumption Minimization Strategy With Rule-Based Gear Selection for the Energy Management of Hybrid Electric Vehicles Equipped With Dual Clutch Transmissions

Multi-objective real-time optimization energy management strategy for plug-in hybrid electric vehicle

Rapid optimal design of a multimode power split hybrid electric vehicle transmission

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