Why Electra EV chose edge computing, and not cloud computing, for its SDV offering

EV powertrain supplier Electra EV has decided to change its IT infrastructure strategy by relying more on edge computing rather than cloud-based systems for its recently launched Software-Defined Vehicle (SDV) offerings.

"We don't rely on the cloud, we rely on the edge," said Samir Yajnik, CEO & Executive Director of Electrodrive Powertrain Solutions, emphasizing the company's resolve to move to decentralized processing.

Cloud computing refers to the use of large, centralized datacenters to store and process data collected from far flung locations and sources, while edge computing refers to the use of close-to-the-source computers and servers to do the same. The latter is considered more suitable for situations where delays in decision making -- such as autonomous driving -- cannot be tolerated.

Electra's approach leverages edge computing to enable ultra-low latency vehicular services, critical for connected transportation. By offloading computing tasks to edge servers, the company aims to enhance reliability, reduce network congestion, and strengthen data privacy.

Differentiating factor: Holistic control

While competitors like KPIT, Capgemini, and Tata Communications offer SDV solutions, Electra claims a unique advantage: complete control over the software stack.

"They do the services bit, which is a top layer software when somebody (OEMs) needs to open their APIs, but we do the whole thing," explained Sumeet Dhar, the company's chief operating officer. "We actually take not just the bottom layer software coming from all these controllers but also the top layer and combine it in a way that gives that end user differentiated experience that this SDV is all about."

This holistic approach, according to Electra, allows for deeper customization and integration, delivering a truly unique driving experience.

Lightweight and adaptable

Furthermore, Electra's SDV technology is designed to be lightweight and computationally efficient, addressing a key challenge faced by many OEMs. Existing vehicle architectures often lack the hardware necessary to support 5G/6G-enabled microcontrollers, hindering the seamless integration of advanced SDV functionalities. Electra's solution, however, can be deployed on both new and existing powertrains, provided the necessary sensors and controls are in place.

Electra EV is looking to leap ahead of the competition with its E-Vehicle Operating System (EVOS), integrating the principles of SDV with advanced EV powertrain technology. EVOS platform offers a real-time adaptive experience tailored to drivers' unique preferences and road conditions. At the heart of this system lies an onboard neural computational engine, a cutting-edge technology that optimizes vehicle performance dynamically. Unlike traditional cloud-based systems, this onboard solution ensures immediate responses, enhancing both driving comfort and overall efficiency.

Another standout feature of Electra EV's technology is its use of real-time digital twin capabilities. This advanced system continuously monitors the vehicle's health, offering predictive diagnostics to address potential issues before they impact performance. For drivers, this translates to lower maintenance costs, improved safety, and greater peace of mind, the company leadership pointed out.

It also boasts of onboard artificial intelligence (AI) and machine learning (ML) integration. By reducing dependency on cloud-based infrastructure, the system eliminates latency concerns and strengthens data privacy. This onboard intelligence enables faster, more reliable decision-making, even in complex and rapidly changing driving environments, they added.

Furthermore, energy efficiency and range maximization are pivotal in the EV market, and Electra EV claims that it has kept its focus on both areas. It says that its software-driven optimization ensures extended driving range without compromising performance, catering to the demands of eco-conscious drivers and long-distance travelers alike.

The company has been looking to diversify its revenue away from Tata Motors. During the last fiscal, just about 5% out of its Rs 295 crore revenue came from non-Tata Motors customers, and the company wants to increase it to upwards of 20%.