Design and Implementation of RISC-V based SoC for Electric Vehicle Traction Application

This letter presents the design and implementation of a RISC-V-based System-on-Chip (SoC) on the Arty A7-100T FPGA platform, specifically optimized for Electric Vehicle (EV) traction control applications. By leveraging the open-source Shakti E-Class core, the proposed SoC integrates deterministic Six-Pulse commutation, hardware-accelerated Pulse Width Modulation (PWM), and robust fault resilience to address critical real-time control challenges inherent in legacy microcontrollers. Empirical validation demonstrates a 35% reduction in Mean RMS Speed Error, less than 2% speed oscillation amplitude under load perturbations, and a 39% improvement in worst-case response time compared to conventional systems. The architecture’s extensibility and security features underscore RISC-V’s potential as a scalable, cost-efficient foundation for next-generation EV controllers, despite current deployment as a standalone system with network integration envisioned for future development.

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Publication Details

Journal
IEEE Embedded Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/les.2025.3594596
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Design and Implementation of RISC-V based SoC for Electric Vehicle Traction Application

C V Raghu, G. Renjith
IEEE Embedded Systems Letters
Advanced Battery Technologies Research
article

Design and Implementation of RISC-V based SoC for Electric Vehicle Traction Application

C V Raghu, G. Renjith
article en

Abstract

This letter presents the design and implementation of a RISC-V-based System-on-Chip (SoC) on the Arty A7-100T FPGA platform, specifically optimized for Electric Vehicle (EV) traction control applications. By leveraging the open-source Shakti E-Class core, the proposed SoC integrates deterministic Six-Pulse commutation, hardware-accelerated Pulse Width Modulation (PWM), and robust fault resilience to address critical real-time control challenges inherent in legacy microcontrollers. Empirical validation demonstrates a 35% reduction in Mean RMS Speed Error, less than 2% speed oscillation amplitude under load perturbations, and a 39% improvement in worst-case response time compared to conventional systems. The architecture’s extensibility and security features underscore RISC-V’s potential as a scalable, cost-efficient foundation for next-generation EV controllers, despite current deployment as a standalone system with network integration envisioned for future development.

IEEE Embedded Systems Letters
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Battery Technologies Research
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