feature article
Subscribe Now

Will Cars Be a MEMS Sensor Bonanza?

IHS Sees Many Sensors, but… MEMS?

OK – quiz time: what do you think the top three upcoming applications for semiconductors are going to be?

If one of the categories you named wasn’t “automotive,” then you’re not doing your part in the echo chamber. (And you didn’t read the title carefully.) Everyone knows that Christmas is coming to the electronics world as cars convert from old-school mechanical to electrical “drive-by-wire” wherever possible.

And we know that this means tons more sensors in cars, so MEMS companies are going to make out like bandits, right?

Well… not so fast. You might think so, but, in fact, Jérémie Bouchaud of IHS Markit provided something of a reality check at last fall’s MEMS and Sensors Executive Congress. Yes, there will be lots of sensors, but how many of them will be MEMS (or even semiconductor-based)?

MEMS [bleeping] Everywhere? [Censored for delicate sensibilities]

MEMS devices have traditionally done well in cars. Airbag sensors and tire pressure gauges were amongst the first high-volume applications for MEMS, launching them from a sleepy, high-friction business to mainstream status. But MEMS growth in cars is projected to be lower than the other sensor candidates, according to IHS, with a compound annual growth rate (CAGR) of 3% from 2014 to 2024. The next slowest category (conventional negative temperature coefficient (NTC) thermal sensors) have projected CAGRs of 7% and others even higher (18% for radar).

He broke down the sensor opportunities by application (in far more detail than I will here), and, if you think that it’s inevitable that all sensors eventually transition from conventional to MEMS, it was something of a wakeup call.

Yes, what used to be the MEMS Industry Group was renamed the MEMS and Sensors Industry Group out of the recognition that, indeed, not all sensors are MEMS.  But the focus is still on leading-edge, micro-scale semiconductor-based sensors. Sensors like Hall-effect sensors may not, strictly speaking, be MEMS, but they’re still micro-scale, and they’re still made on silicon. Larger, relatively clunkier macro-electromechanical units aren’t hosted on wafers, and yet some of them appear to have a bright future.

There are two categories of vehicle with dramatically different sensor needs. The most obvious one that everyone is talking about is the autonomous vehicle (ranging from level 2 (L2) – some driver assistance – to level 3 – partial autonomy – to levels 4 and 5, where drivers aren’t needed). But the other category (which, to some extent, could be an orthogonal view and overlap with autonomy) is the electric or hybrid vehicle.

Sensors in Self-Driving Internal-Combustion Cars

In the migration of conventional cars towards autonomy, IHS sees a number of sensors proliferating (some of which were new to me). At L2, external cameras and radar predominate, with microbolometers (more on them in a minute) an option. At L3, we could get interior cameras and lidar. At L4 and L5, we might see inertial-measurement units (IMUs – combos of accelerometers, gyroscopes, and maybe magnetometers) for the operational side of the car, with possible sensors and actuators for the entertainment of passengers.

But here’s the thing: the cameras and radar – of which there could be several per vehicle, in all directions – are conventional. (OK, image sensors may be on silicon, but the camera subsystems contain much more than the sensor.) And, of the bazillion different lidar contenders, many are conventional. In fact, the most well-known approach – with a rotating mirror bouncing a laser beam – operates at the macro scale. Will those be overtaken by MEMS? Possibly, but that wasn’t a definite IHS forecast; they simply allow that some lidar might use a MEMS approach.

Then there’s that microbolometer. What the heck is a bolometer anyway, much less a micro version? Turns out it’s a way of measuring electromagnetic radiation by measuring how much some absorbing material warms up in the presence of the radiation. What does this have to do with cars? It can be useful for night vision by detecting thermal images.

The micro version uses a similar absorption approach (with a reflector below it to capture any radiation that passes through the absorber and send it back up for a second chance to be absorbed, making it more sensitive). But because the absorber is thermally isolated, the unit doesn’t need the cooling that a conventional unit requires. Hence smaller and, presumably, cheaper. That said, IHS still characterizes a microbolometer as expensive, which is one reason why it’s seen as optional.

There’s one other new-to-me sensor that they identified for battery charging: the fluxgate sensor. This is a type of magnetometer that acts something like your basic spark coil, with an AC signal in a primary winding inducing a signal in the secondary winding. But the number of windings on the primary and secondary are the same, so there’s no voltage or current change between them. So, in theory – or in isolation – the primary and secondary currents should be the same. But in the presence of a magnetic field, they’re not, and so the difference can be used to measure the background field.

All of that is interesting (to me, anyway), but it’s not MEMS – and, at least to hear IHS tell it, it doesn’t appear to be headed for MEMSification. Yet more macro-scale sensors live another day.

Sensors in EV and Hybrid Cars

Out on electric avenue, meanwhile, there’s a whole different team of sensors. IHS broke them into four classes:

  • Current sensors
    • Shunt (conventional)
    • Hall (semiconductor)
    • Magnetoresistive (semiconductor)
  • Temperature sensors
    • Primarily NTC
  • Position sensors
    • Resolvers (conventional – more on them in a moment)
  • Commutation switches (actuators, not sensors)
    • Primarily Hall (semiconductor)

There’s yet another new-to-me sensor in this collection: the resolver. (Not that new to me means new to everyone else, of course…) This motor-like thing has a rotor and a stator, with one coil on the rotor and two stator coils 90° apart. They’re used to measure angular position. Clearly not MEMS.

Any Opportunities Out There?

So, then, what are some possible future uses of MEMS (and semiconductor) sensors? Must life on the road look bleak for MEMS? Well, there are some promising areas and some needs that haven’t yet been assigned a solution, and MEMS or semiconductors could figure into them.

  • Resolvers could give way to magnetoresistive (MR) sensors, which would be smaller and cheaper.
  • Open-loop Hall sensors could also give way to MR, again for improved size and cost.
  • Cabin climate control could be made more efficient by adding CO2 sensors.
  • We already have sensors to detect crashes when in motion, but they could also be added to detect crashes either at slow speeds (like when parking) or when stopped. One motivation for this is to disconnect the battery if the battery insulation is compromised.
  • And, further with batteries, they envision an opportunity for monitoring the integrity of batteries – particularly for electric and hybrid vehicles. Improved battery technology might obviate these needs, but pressure sensors or strain gauges, gas sensors, and fiber optics could be leveraged to ensure that the batteries don’t go rogue.

So… it was a sobering view of MEMS – the technology that’s transforming everything – in the automotive sector, which will change everything about how we get from here to there. (At least if I’m a good team player and amplify the hype.) There may be many high-growth opportunities for MEMS, but, at least as far out as IHS is projecting, automotive isn’t one of them.

One thought on “Will Cars Be a MEMS Sensor Bonanza?”

Leave a Reply

featured blogs
Nov 27, 2023
Most design teams use the schematic-driven connectivity-aware environment of Virtuoso Layout XL. However, due to the reuse of legacy designs, third-party tools, and the flexibility of the Virtuoso platform, a design can lose binding and connectivity. Despite the layout being ...
Nov 27, 2023
Qualcomm Technologies' SVP, Durga Malladi, talks about the current benefits, challenges, use cases and regulations surrounding artificial intelligence and how AI will evolve in the near future....
Nov 27, 2023
See how we're harnessing generative AI throughout our suite of EDA tools with Synopsys.AI Copilot, the world's first GenAI capability for chip design.The post Meet Synopsys.ai Copilot, Industry's First GenAI Capability for Chip Design appeared first on Chip Design....
Nov 6, 2023
Suffice it to say that everyone and everything in these images was shot in-camera underwater, and that the results truly are haunting....

featured video

Dramatically Improve PPA and Productivity with Generative AI

Sponsored by Cadence Design Systems

Discover how you can quickly optimize flows for many blocks concurrently and use that knowledge for your next design. The Cadence Cerebrus Intelligent Chip Explorer is a revolutionary, AI-driven, automated approach to chip design flow optimization. Block engineers specify the design goals, and generative AI features within Cadence Cerebrus Explorer will intelligently optimize the design to meet the power, performance, and area (PPA) goals in a completely automated way.

Click here for more information

featured paper

Power and Performance Analysis of FIR Filters and FFTs on Intel Agilex® 7 FPGAs

Sponsored by Intel

Learn about the Future of Intel Programmable Solutions Group at intel.com/leap. The power and performance efficiency of digital signal processing (DSP) workloads play a significant role in the evolution of modern-day technology. Compare benchmarks of finite impulse response (FIR) filters and fast Fourier transform (FFT) designs on Intel Agilex® 7 FPGAs to publicly available results from AMD’s Versal* FPGAs and artificial intelligence engines. Also join us for a webinar on the future of the Programmable Solution Group.

Register now: intel.com/leap

featured chalk talk

Accessing AWS IoT Services Securely over LTE-M
Developing a connected IoT design from scratch can be a complicated endeavor. In this episode of Chalk Talk, Amelia Dalton, Harald Kröll from u-blox, Lucio Di Jasio from AWS, and Rob Reynolds from SparkFun Electronics examine the details of the AWS IoT ExpressLink SARA-R5 starter kit. They explore the common IoT development design challenges that AWS IoT ExpressLink SARA-R5 starter kit is looking to solve and how you can get started using this kit in your next connected IoT design.
Oct 26, 2023
4,103 views