SEASON 2
SEASON 1
As automotive OEMs add new sensors, devices, infotainment systems, and electric systems to enable the advanced features consumers expect, the resulting complexity of the low-voltage vehicle architecture presents a significant challenge. To optimize the architecture for the next generation of vehicles, we must prioritize innovations that automate assembly to lower costs and improve quality and performance.
Since the 1950s, the average amount of current flowing through 12V systems has increased by 650%. This increased demand on the electrical system is prompting many OEMs to switch from 12V to 48V architectures. Increasing voltage by a factor of four reduces current by a factor of four, enabling OEMs to use significantly smaller terminals and wiring.
By delivering the same amount of power at half the current, 800V vehicle architectures offer a promising solution to deliver the fast charging consumers are demanding, while enabling the use of smaller wires and connectors to reduce mass throughout the vehicle.
An integrated power electronics solution supports OEM packaging constraints by consolidating the onboard charger, DC-to-DC converter, EVSE controller, battery management software, battery disconnect unit, circuit protection, and power conversion capabilities into a single package.
As vehicles increasingly require more computing power, vehicle-to-everything (V2X) connectivity enables OEMs to offload processing while improving performance and enabling next-generation user experience features.
While driver monitoring systems ensure the driver is alert and focused on the driving task, cabin monitoring expands what interior sensing can accomplish — enabling advanced features such as seat occupancy classification, seat belt misuse detection, gesture recognition and more.
The digital feedback loop (DFL) enables developers to see how their software and hardware perform in the field, which is crucial to delivering continuous improvements over the vehicle's lifecycle.
As the amount of software in vehicles continues to grow, OEMs need to have the right tools, the right capabilities and the right approach to build software on time, on quality and on budget.
The battery is the most expensive component in an electric vehicle. Battery management software is critical for OEMs to get the most from that investment by optimizing performance, reducing degradation, and increasing safety.
As automotive software becomes more complex, a new cloud-native architecture is necessary to decouple software from hardware and enable the vehicle to evolve over its lifecycle.
ADAS solutions need a combination of different sensing modalities. Cameras are an essential part of the equation, but they have limitations — such as inclement weather, high-contrast lighting and nighttime driving scenarios. To provide the best ADAS systems, we need to optimize the sensor set to get the most value out of what each sensor is good at.
To deliver electrified, software-defined vehicles, OEMs need three things: a hardware architecture that is optimized at the system level, a cloud-native software architecture that is abstracted from the underlying hardware, and a DevOps toolchain that enables continuous updates over the vehicle’s lifetime.
New automotive features are increasingly enabled by software — meaning the entire vehicle needs to be more software-defined to enable those features to be managed over time. That is where the next generation of Smart Vehicle Architecture™ comes in.
The biggest data communication challenges for the automotive industry are bandwidth and latency. The vehicle architecture of the future needs to be able to transmit raw data very fast from high-definition cameras, radars and other sensors. Learn how Aptiv's Smart Vehicle Architecture™ is up to the task.
As OEMs design the next generation of electric vehicles, they are looking for ways to reduce costs and make production more sustainable. That's why it's critical to leverage electrical architecture solutions built with automation in mind.
Expanding busbars beyond the inside of the battery pack enables efficient power distribution and new features — as the applications where we are using them increase significantly.
Consolidating functions from the onboard charger, the DC-to-DC converter, the BDU, the PDU, and the EVSE controller into a single device enables overall package savings, weight savings, and significant cost savings.
As OEMs pursue higher levels of vehicle autonomy, optimizing the strengths of all sensing modalities is critical to provide autonomous driving features that can work in the widest variety of driving conditions.
The compute architecture, the zonal architecture, the networking, and the data management have to be in place to enable the software-defined vehicle.
Artificial intelligence and machine learning can help OEMs provide higher levels of performance and functionality while reducing costs.
On the road to the software-defined vehicles of the future, how do you improve vehicle functionality without changing the hardware? That's where artificial intelligence and machine learning come in.
Our experts reveal what's on the horizon for cloud-native vehicle architectures and explain why OEMs need to get cirrus about cloud computing.
Ongoing innovation in the automotive industry requires constant two-way communication between the vehicle and the developers; that's where the digital feedback loop comes in.
Software development in automotive is unlike any other industry. Learn from our experts about what's needed to handle the scale, complexity, speed and safety of developing software for the vehicles of the future.
Software is driving big changes in the automotive industry, but what trends are driving changes in the software?
As the mobility industry races to deliver a truly software-defined vehicle, it is important to understand what technologies make that possible.
A lot is changing in the automotive industry. Our experts highlight the key trends to watch.