Towards a generic control-oriented model for HEV predictive energy management

Stroe, Nicoleta; Colin, Guillaume; Bencherif, Karim; Olaru, Sorin; Chamaillard, Yann

doi:10.1016/j.ifacol.2016.08.039

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…The static model introduced below describes the relation between the total wheel torque (known at each instant) and the torque of components and it also defines the rotational speeds from the vehicle speed and the gears. In [34] it was shown that the proposed model can be used for all parallel and series hybrid architectures, with a possible extension for seriesparallel, provided additional electric machines on crankshaft and wheel are included. Here, only the relations that concern the current case-study have been retained:…”

Section: Powertrain Control-oriented Modelmentioning

confidence: 99%

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Stroe¹,

Olaru²,

Colin³

et al. 2019

IEEE Trans. Intell. Veh.

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The focus of this work is to exploit the potential of model predictive control for the energy management of hybrid electric vehicles. The global framework covers the power distribution between the internal combustion engine and the electric machine(s) in order to minimize the fuel consumption. Current technologies allow the forecast of speed profile and road grade making predictive control a viable solution. The gears within the prediction model are assumed to be pre-calculated at a higher level and therefore, only the torque split problem needs to be addressed by the energy management mechanism. Engine stop can improve fuel gain which is even more noticeable for hybrid vehicles and hence, its inclusion is naturally considered in the present study. Furthermore, optimization of the speed profile is addressed by introducing the freewheeling functionality.

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Section: Powertrain Control-oriented Modelmentioning

confidence: 99%

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Stroe¹,

Olaru²,

Colin³

et al. 2019

IEEE Trans. Intell. Veh.

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“…In this paper, a DCT hybrid with EM connected to the even primary shaft (Fig. 1) will be considered, although the approach is generic for any parallel hybrid architecture, with one EM and one battery, as shown in [14]. As mentioned in the introduction, the engaged gears are pre-imposed, the variables to be determined on-line are the component torques (T ice , T em ), which are considered as control signals.…”

Section: Powertrain Control-oriented Modelmentioning

confidence: 99%

“…The ratios r w ice , r w em depend on the driveline states, they are therefore time-varying, which complexifies the prediction model. A description of the functional modes is given in Table I and more explanations about these expressions can be found in [14].…”

Section: Powertrain Control-oriented Modelmentioning

confidence: 99%

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Time-varying MPC-based energy management for HEV including engine stop & start

Stroe

Olaru

Colin

et al. 2016

2016 20th International Conference on System Theory, Control and Computing (ICSTCC)

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In this paper, the energy management of hybrid electric vehicles is considered and two problems are addressed: torque split and engine stop-start policies. Model predictive control potential is proven especially for the decision to stop the engine at the proper moment and also to anticipate engine restart. A piecewise linear polynomial with respect to torque is used to approximate the fuel consumption and it will be shown that its partition can be exploited to implicitly consider engine stop decision. The strategy is applied to a dual-clutch transmission hybrid architecture which was simulated on a high-fidelity vehicle model.

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“…Tests of vehicles powered with alternative fuels or with alternative propulsion systems are carried out with respect to their respective harmful components emissions [6,8,9]. Increasingly more often, these studies refer to conditions of energy flow in hybrid [12] or electrical systems [3].…”

Section: Introductionmentioning

confidence: 99%

Operation of electric hybrid drive systems in varied driving conditions

Pielecha¹,

Cieślik²,

Szałek³

2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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Hybrid vehicles allow an increase in the powertrain efficiency thanks to their design. One such factor is the use of increased voltage supplying electric motors to the voltage supplying the high voltage battery. The battery voltage is increased several times in the inverter (boost) system to increase the final electric power supplied to the electric motor. The article presents the possibilities of using such a voltage boost in urban and non-urban driving conditions. The tests were performed on the latest generations of parallel hybrid drive systems in Lexus NX 300h and Toyota RAV4 hybrid vehicles. It has been shown that the boost system is used in about 30–40% of the urban drive distance (up to 20% of the driving time). The power supply voltage boost of the electric motors of both vehicles is used throughout the entire engine speed range of these machines at high torque values. Research has shown that the maximum voltage gain – approximately three times (up to 650 V) – is within the maximum torque range of the electric motors and allows for doubling the torque generated by the drive.

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Towards a generic control-oriented model for HEV predictive energy management

Cited by 8 publications

References 14 publications

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Predictive Control Framework for HEV: Energy Management and Free-Wheeling Analysis

Time-varying MPC-based energy management for HEV including engine stop & start

Operation of electric hybrid drive systems in varied driving conditions

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