Indian Electric Vehicle transformation goal 2030 – Can Automotive software a forceful enabler?

Indian has set itself a target to move completely towards electric vehicles by 2030. By far it could be the major transformation in the global automotive market considering India is the fifth largest auto market in the world. This is the ambitious initiative to move towards alternative fuel which can reduce emissions by 37%. Setting the standards and procedures for the electric vehicles is under process which will provide rules and guidelines in manufacturing the vehicles and subsidies for their batteries.

This mandate has motivated several automotive companies to set up manufacturing units for Electric Vehicles(EVs) and lithium-ion-battery factories. Even engine manufacturers are in full throttle to expedite their research on electric mobility solutions. The government and industry are also formulating plans to ramp up the charging infrastructure along the large network of the country’s highways.

While the target period to reach the mandate seem not so far, concerns of producing EVs that provide value to the end user and encourages adoption is looming large. This is because the EVs that are available in the market are yet to catch up with the speed, cost and quality parameters and developing a battery management system technology that helps recharge batteries that last considerable long term is of paramount importance.

While the industry is working out plans to overcome various of these challenges, software architecture and software design for Electric Vehicles(EV) is another important factor that can help find solutions to most of these problems. In fact, EVs may serve as a platform to drive a paradigm change in the system architecture and software design for road vehicles. State-of-the-art embedded software tools can be used to optimize a variety of electric and hybrid vehicle architectures. The software can enable the holistic design of EV-specific auto components and their control, battery system, electric motor, electric powertrain. In addition, there is need to devise technologies that can provide advanced safety and energy efficiency of EVs, drive-by-wire and information systems. An optimal configuration of a combustion engine, battery and electric machine(s) can only be defined with the help of computer simulation methods and tools.

System architecture should address the challenge of communication and computation platforms, reducing the number of Electronic Control Units(ECUs) by designing computational devices with high processing power with low cost. The holistic software design approach should all encompass the controlled component, hardware architecture, middleware and verification techniques, EV security and possible threat prevention objectives. The software will determine how the levels of electrical current flowing through the entire system vary at given times for vehicle acceleration, cruising, and braking. The hybrid Electronic Control Unit with the vehicle’s operating strategy can be developed, implemented and tested by means of desktop simulation, rapid control prototyping, automatic code generation as well as hardware-in-the-loop (HIL) simulation.

Rapid transformation to Electric Vehicles will encourage a lot of innovations in it and will be driven by electronics and software. Electric Vehicles will be a platform where simplified integration by consolidating hardware architecture using middleware approach will take place. EVs will feature high connectivity and thus the significance of security is prime. Security hence will be a major part of design objective in EV automotive architectures.

Overall, embedded software development tools will be used as means of designing and producing the “Greener” and more secure Electric vehicles. Let’s hope the software will be a forceful enabler for the Indian Automotive Industry to design and produce state of the art Electric Vehicles and help the automotive industry that strives to achieve the ambitious mandate to turn all new passenger cars on the roads into electric by 2030.

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