Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives

Jarzębowicz, Leszek; Opaliński, Artur

doi:10.1515/aee-2017-0063

Cited by 5 publications

(4 citation statements)

References 25 publications

(32 reference statements)

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“…The trasmission gear ratio is indicated in Table 5. To account for the electric motor torque regulator dynamics, a first order time lag was introduced in the model [3,18]. The power losses of each motor, P loss;ij , are defined as functions of motor torque, C ij , and motor speed, X ij , as the difference between the input power, P in , and the output power, P out :…”

Section: Resultsmentioning

confidence: 99%

“…Recent years have seen an increasingly large interest in vehicle electrification and Advanced Driver Assistance Systems (ADAS), both deemed key features for the future of private transportation. From an engineering point of view, vehicle electrification has opened plenty of possibilities in terms of powertrain layouts and exploitable features, some of which are simply impossible to achieve with a traditional architecture [1][2][3]. A very interesting layout for electric vehicles consists of either four motors (one per wheel) or two motors on the same axle, i.e., one on the left wheel and one on the right wheel of the axle [4].…”

Section: Introductionmentioning

confidence: 99%

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An integrated torque-vectoring control framework for electric vehicles featuring multiple handling and energy-efficiency modes selectable by the driver

2021

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A key feature achievable by electric vehicles with multiple motors is torque-vectoring. Many control techniques have been developed to harness torque-vectoring in order to improve vehicle safety and energy efficiency. The majority of the existing contributions only deal with specific aspects of torque-vectoring. This paper presents an integrated approach allowing a smooth coordination among the main blocks that constitute a torque-vectoring control framework: (1) a reference generator, that defines target yaw rate and sideslip angle; (2) a high level controller, that works out the required total torque and yaw moment at the vehicle level; (3) a low level controller, that maps the required force and yaw moment into individual wheel torque demands. In this framework, the driver can select one among a number of driving modes that allow to change the vehicle cornering response and, as a second priority, maximise energy efficiency. For the first time, the selectable driving modes include an “Energy efficiency” mode that uses torque-vectoring to prioritise the maximisation of the vehicle energy efficiency, thus further increasing the vehicle driving range. Simulation results show the effectiveness of the proposed framework on an experimentally validated 14 degrees of freedom vehicle model.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated torque-vectoring control framework for electric vehicles featuring multiple handling and energy-efficiency modes selectable by the driver

2021

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“…It has been demonstrated that the selection of the discretization technique is the key factor for constructing resonant controllers [31]. In many simulations, the discretized controllers exhibited nearly identical frequency responses to those of the continuoustime controller [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Archives of Electrical Engineering

Dewantoro,

Rizky,

Murtianta

2020

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With the rapid advancement of digital processors, filters have been commonly implemented using microcomputers. In this study, a low-cost and compact Arduino Uno development board was used to realize digital lead and lag compensators. Arduino boards are very affordable. Consequently, they were investigated to see if they were capable of preserving the frequency response of continuous-time compensators. The experiments required a set of equipment including a function generator, an Arduino Uno development board, a PC-based oscilloscope, and a laptop. The signal frequency was varied from 0 to 500 Hz. Two discretization methods were employed, namely bilinear transformation and matched pole-zero mapping. The results showed that an Arduino Uno board can be utilized to implement lead and lag compensators to some extent. The discrete-time compensator preserved the capability of filtering out certain frequencies. The change in DC gain was negligible, however, there was a significant difference in the cut-off frequency and transient slope. For both discretization methods, the frequency responses at high frequency experienced a rippling profile.

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“…In transport engineering, such companies as FordMotors, GeneralMotors, Chrysler, Reno, Fiat, Pegeot, Volkswagen, TokyoElectricPowerCo, AseaBrownBoveri and others are engaged in the development of electric drives used in cars and their electrical equipment. [3,4,5]. An example is the development of Volkswagen.…”

mentioning

confidence: 99%

Parameters of the Summing Reduction Gear Hybrid Car

Ishinbaev¹,

Galiyev²,

Nigmetzyanova³

et al. 2019

helix

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Cars with an internal combustion engine consume a large amount of fuel and emit harmful substances into the environment with exhaust gases. The ecology problem is especially acute in large cities and near federal highways. At the same time, emissions from automobile transport are growing at a faster pace, and its share in emissions of harmful substances from the transport complex is 89%, because the number of cars is increasing annually. One of the effective directions in solving the problem is the use of electric drive in car designs [1,2]. In transport engineering, such companies as FordMotors, GeneralMotors, Chrysler, Reno, Fiat, Pegeot, Volkswagen, TokyoElectricPowerCo, AseaBrownBoveri and others are engaged in the development of electric drives used in cars and their electrical equipment. [3,4,5]. An example is the development of Volkswagen. This car consists of a diesel engine, a small electric motor and a sodium sulfur battery. When driving at low speeds, the drive wheels are driven by an electric motor, then the internal combustion engine is launched, which provides wheel drive at steady speeds. In this case, the electric motor goes into generator mode. The prototype allowed consuming 4 liters of fuel per 100 kilometers and reducing the toxicity of exhaust gases by 60% compared with a serial internal combustion engine. A hybrid car has two energy sources: an internal combustion engine and an electric motor. Each of the engines complements the disadvantages of the other. In this case, the energies of two engines are combined. The matching element or summing reducer can be various types of reducers: chain, belt, gear, planetary, etc. When summing the energy of two engines, it is necessary to coordinate the rotational speeds of the shafts of the internal combustion engine and the electric motor, which are interconnected via a summing reducer.

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Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives

Cited by 5 publications

References 25 publications

An integrated torque-vectoring control framework for electric vehicles featuring multiple handling and energy-efficiency modes selectable by the driver

An integrated torque-vectoring control framework for electric vehicles featuring multiple handling and energy-efficiency modes selectable by the driver

Archives of Electrical Engineering

Parameters of the Summing Reduction Gear Hybrid Car

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