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₹3,250 crore, 235,000 engines, 600 jobs.I see India's manufacturing future in these numbers.Do you agree?
₹3,250 crore, 235,000 engines, 600 jobs. I see India's manufacturing future in these numbers. Do you agree? Ford once closed this chapter. Many thought it had ended. Now, the story continues. Ford's India manufacturing- Journey moves forward. Ford plans 235,000 engines yearly. Production starts from 2029. Over 600 direct jobs follow. Whenever a factory restarts, I think beyond production. I think about the engineers who will build it. Engines aren't the biggest outcome. Manuf
Murali krishna
Jul 221 min read


I don't believe India is ready.Despite that, I love using ADAS.Every highway drive proves its value.
India just cleared ADAS roadblock. India opened the 76–81 GHz radar band. It also allocated 5.9 GHz for V2X. Radar licensing just became easier. 🚗 That speeds ADAS deployment. Global hardware becomes easier adopting. Engineering costs may reduce. Validation stays India's biggest challenge. Here's why I still believe India isn't ready. 👇 Poor Road Markings 🛣️ Faded lanes confuse camera systems. Construction zones change lane paths. Lane centering becomes less reliable. Unpr
Murali krishna
Jul 161 min read


As a die-hard EV fan,I never thought I'd agree withPorsche saying "no" to an electric 911.
My last post covered Ferrari’s first EV Luce. Interesting, considering Enzo Ferrari once said: “When you buy a Ferrari, you buy an engine.” Yet Ferrari entered the EV era. Porsche is taking a different path. CEO Michael Leiters made it clear. The 911 stays combustion and hybrid. Why? Its rear-mounted flat-six defines it. An EV can match performance. But can it preserve architecture? That’s the real engineering debate. ⚙️ Ferrari is changing the powertrain. Porsche is protecti
Murali krishna
Jun 171 min read


I expected the 2.5-second sprint.I did not expect the 530 km range. That is where Ferrari’s first EV surprised me.
Not for the 1,050 hp figure. I noticed the 0.254 drag coefficient. That is lower than many performance cars. Better aerodynamics can reduce the battery size needs. 0-100 km/h in 2.5 seconds. That is serious engineering. Lower drag means lower energy demand. Four independent motors enable true torque vectoring. Each wheel can receive different torque instantly. It can even switch to pure rear-wheel drive. A 122 kWh structural battery lowers the center of gravity. The 800V arch
Murali krishna
Jun 151 min read


I never cared to the different sounds inside ICE vehicles.But now I realize in EV's silence is exposing everything.
I find EV noise engineering surprisingly fascinating. When engine noise disappears, suddenly every small sound becomes noticeable. ✨ Motor whine. ✨ Gear noise. ✨ Road noise. ✨ Wind noise. This is exactly why NVH engineering in EVs is becoming far more challenging Than many expected. In ICE vehicles, engine noise masks many smaller sounds. But in EVs, Silence exposes everything. Ironically, making a vehicle feel “silent” Requires extremely complex engineering. Even small gear
Murali krishna
Jun 21 min read


Tesla, BMW, and others changed motor strategies.That tells us something important.lets dive in 👇
One moving part. No engine noise. Looks easy from the outside. An internal combustion engine feels mechanical. An EV motor feels electromagnetic. And that changes everything. Every EV motor mainly has two parts. The stator remains stationary. The rotor keeps rotating. But the actual power comes from Something invisible. - Rotating magnetic field. That magnetic field controls speed, torque, Efficiency, and vehicle response. The inverter plays a huge role here. Batteries supply
Murali krishna
May 242 min read


Everyone is focused on EV launches. Almost no one is talking about- What actually decides the winners.
Everyone is focused on EV launches. Almost no one is talking about- What actually decides the winners. Lately, I’ve been noticing a Silent shift in the EV space. From “launching vehicles.” to “building platforms.” Yes, you read it right The real game is happening At the system level. The focus is moving toward Scalable motor architectures, software-defined control, and data-driven improvements. Early architecture decisions Don’t just define performance— They define co
Murali krishna
Apr 191 min read
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