An FPGA-based Electronic Control Unit for Automotive Systems

Oh, Jung Hwan; Yoon, Young Il; Kim, Ji Kwang; Ihm, Hyung Bin; Jeon, Shin Hye; Kim, Tae Heon; Lee, Seung Eun

doi:10.1109/icce.2019.8662003

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…In consideration of communication between a MCU and FPGA, it is essential to ensure high-speed and high reliability in an automotive system. The Zipwire protocol has the advantages of low power consumption and high data rate when adopting the LVDS interface [31]. Additionally, Zipwire can qualify the frame by adopting CRC.…”

Section: Zipwire Communicationmentioning

confidence: 99%

An FPGA-Based ECU for Remote Reconfiguration in Automotive Systems

et al. 2021

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Growing interest in intelligent vehicles is leading automotive systems to include numerous electronic control units (ECUs) inside. As a result, efficient implementation and management of automotive systems is gaining importance. Flexible updating and reconfiguration of ECUs is one appropriate strategy for these goals. Software updates to the ECUs are expected to improve performance and bug handling, but there are limitations due to the fixed hardware circuit. By applying hardware-reconfigurable ECUs to the automotive system, patches that are not able to be handled with only software updates are enabled. In this paper, a remotely hardware-reconfigurable ECU for automotive systems is proposed. The proposed ECU is implemented with a field programmable gate array (FPGA) and microcontroller unit (MCU) to support in-system reconfiguration (ISR). The communication interface between the FPGA and MCU employs Zipwire communication for high speed and resilient communication. For the Zipwire communication, a Zipwire controller is designed and implemented in the FPGA. The proposed hardware-reconfigurable ECU was successfully implemented, and feasibility was demonstrated.

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Section: Zipwire Communicationmentioning

confidence: 99%

An FPGA-Based ECU for Remote Reconfiguration in Automotive Systems

et al. 2021

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“…Figure 1 shows the block scheme for the control unit. It selects and retrieves instructions from the main memory in the proper sequence and interprets them to allow other functional elements to perform the respective operations at the appropriate time [5][6][7]. Each input data is passed via the main memory to a processing device, comprising the four basic arithmetic functions (i.e., adding, subtracting, multiplying, and dividing) as well as certain logical operations such as data comparison and the selection of the required problem-solving method or a suitable alternative, on the basis of default decision criteria [8,9].…”

Section: Introductionmentioning

confidence: 99%

VLSI Implementation of Green Computing Control Unit on Zynq FPGA for Green Communication

Shrivastava¹,

Rizwan

Kumar

et al. 2021

Wireless Communications and Mobile Computing

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The issue of the energy shortage is affecting the entire planet. This is occurring because of massive population and industry growth around the world. As a result, the entire world is attempting to implement green networking systems and manufacture the power/energy efficient products. This research work discusses the green networking system technologies. This work introduces a power-efficient control unit (CU) design and implemented on the Zynq SoC (System on Chip) ultrascale field programmable gate array (FPGA). The VIVADO HLx Design Suite is used to simulate and analyze the CU model which is considered as one of the key components of central processing unit (CPU), used for data communication purposes. The CU is made suitable for the green communication by making it power-efficient. Therefore, the power consumption of the CU is analyzed for the various set frequency value ranging between 100 MHz and 5 GHz, and it is discovered that as the clock frequency rises up, the total power consumption also tends to get increased. The total power of the proposed model is reduced by 77.42%, 21.29%, and 17.93% from three models, respectively, being compared in the present paper. Final results shows that the CU is better suited to run at low frequencies to optimize power consumption.

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