The extraordinary design challenges posed by mobility electrification require equally extraordinary solutions. Simulation is the a way to efficiently address the design demands that will define a successful race to market. Electric mobility leaders are already reporting on the benefits of electric vehicle simulation software and its empowering effect on the design process.

Integrate highly complex, electric vehicle (EV) and hybrid-electric vehicle (HEV) powertrains and their subsystems and components.

An integrated solution for BMS development that allows for risk-free virtual testing.

We oers a state-of-the-art battery system EMI/EMC simulation solution that seamlessly combines frequency and time domain simulation.

Full system integration from the concept design stages to analysis optimization and verification

Simulation empowers engineers with rapid prototyping to see what works, without investing time into building physical models for every prototype and version.

While simulation helps streamline your entire workflow, especially difficult problems often see the biggest benefits. The more complex the required tests, the more time simulation can save.

Improved power systems drive consumer confidence by reducing range anxiety. Market leaders are already using Ansys software to create more inspiring vehicles with less wasted time and resources.

OPAL-RT TECHNOLOGIES, in partnership with comemso®, introduces top of the line Battery Management System HIL test solution. Our exible BMS approach makes it possible to integrate new technology as soon as it is introduced into the vehicle.

OPAL-RT and National Instruments bring you the most powerful, open, and exible HIL- and PHIL-testing system designed to improve time-to-market and manage system complexity in the rapidly transforming automotive industry.

D&V and OPAL-RT combine leading-edge technology and innovative design to produce superior Power Hardware in the Loop (PHIL) simulation for EV/HEV motor drive inverters and DC power system test solutions.

OPAL-RT and National Instruments bring you the most powerful, open, and exible HIL- and PHIL-testing system designed to improve time-to-market and manage system complexity in the rapidly transforming automotive industry. This solution can easily be customized to adapt to changing research requirements by combining modular hardware and o-the-shelf components. Our solutions are backed by our expertise in highly customized and complex test benches, and training modules based on the world’s most advanced automotive applications.

“Customer Does Everything” costly (Time, Upkeep) No Ecosystem customer maintains

“Customer knows Best” Customizable Solution Open, Valuable Ecosystem Customer Designs

“Vendor Knows Best” Fixed Functionality Closed Ecosystem Customer Pays

Engineers to front-load the development of electric vehicles (EV) through the systematic use of data and models. You can use pre-built reference applications to lower the barrier for simulation.

• Get full EV simulation with motors, generators, and energy storage components up and running quickly using pre-built reference applications for common powertrain configurations
• Reuse models throughout design ow from architecture, analysis, to hardware-in-the-loop (HIL) testing

• Model and simulate batteries and develop BMS
• Simulate non-linarites, thermal effects, SOC/SOH, and degradation of batteries
• Achieve functionalities like voltage and temperature monitoring, thermal and overcharge protection, and cell balancing and isolation in BMS

• Model and simulate FCS and develop FCCS
• Simulate fuel economy, performance, and thermal effects in fuel cell electric vehicles (FCEVs)
• Achieve functionalities like current, voltage, and power monitoring and thermal management

• Model and simulate motors, power electronics, and MCUs
• Design, simulate, and validate power conversion systems using model libraries of energy sources, power semiconductors, and machines such as permanent magnet synchronous motor (PMSM) and induction motor (IM)

Functional Models – Turnkey Hybrid and Electric EV Vehicle trainers systems

We offer a wide range of functional models for automotive technical education purposes. This includes electric and hybrid functional models to meet the expected global rise in demand for this type of vehicle and the subsequent need for trained professionals in maintaining and repairing these kinds of vehicles. Hybrid vehicle training is hugely important if students are to keep ahead of changing trends within the automotive industry.

QCar, the feature vehicle of the Self-Driving Car Research Studio, is an open-architecture, scaled model vehicle designed for academic research. Working individually or in a fleet, QCar is the ideal vehicle for validating dataset generation, mapping, navigation, machine learning, artificial intelligence, and other advanced self-driving concepts.

Electric Vehicle and Autonomous Vehicles to train the students to innovate and develop to motivate the local manufacturing ideas. Driverless education vehicle, on the basis of pure electric vehicles, with wire-controlled drive/brake, wire-controlled steering and by wire-controlled shift of the wire-controlled chassis, including 16 lines of LIDAR, millimeter wave radar, inertial combined navigation, camera and intelligent networked vehicle. RF connection line (2), inertial guidance simulation device which can realize GPS static measurement and data processing, GNSS-RTK system basic structure.

power system, brake system and steering system which is in line with the L6e light-truck regulation standard through visualization software to complete the wire-controlled steering, wire-controlled driving, wire-controlled drive system and wire-controlled simulation.

Contains binocular camera assembly, speed simulation device, moving target, alarm device.

Inertial integrated navigation system training platform includes inertial navigation host, satellite antenna (2), radio frequency connection line (2), inertial navigation attitude simulation device.

Includes 16-line lidar, solid-state lidar, and single-line lidar. It is convenient for students to analyze the point cloud data and principle analysis of the three lidars. It can realize the functions of lidar principle teaching, installation and calibration, and detection target data analysis.

The training platform includes ultrasonic radar (8), low-speed collision controller, millimeter wave radar sensor (77HZ), CAN analyzer.

Edutech PIXKIT, full-stack, cost-effective and high-performance, it supports open source autonomous driving software Apollo and Autoware, as well as platforms like ROS, MATLAB/Simulink and more. With software and hardware platform stacks, plus comprehensive user manuals and documentations.

Edutech PIXKIT is dedicated to lowering the entry barrier of autonomous driving development. It empowers academic professors, educational experts, developers and general engineers to quickly develop and deploy autonomous vehicles, build/test algorithms and launch AV demonstrations, sparking more possibilities.

• Rapid prototyping for autonomous driving vehicles
• Quick deployment and demonstration in single or multiple scenarios

Drive-by-wire control on steering, braking, acceleration, gear switch, and vehicle lighting system

CAN protocol interfaces and mechanical, VCU supports open advanced control mode designs are all open source

Low-speed automatic parking mode and Hill start assistance

4-wheel hub motors with independent drive and closed-loop control, enabling 4-wheel and 2-wheel steering modes, powerful and flexible.

Protection on speed accidental operation. Remote emergency stop. Bionic architecture. The cerebellum (VCU) is independent of the autonomous driving system and controls the secure actuation mechanism of the chassis, reducing electronic control redundancy while ensuring autonomous driving of high safety level.

Corresponding chassis DBC les for Apollo and Autoware are provided. With open CAN interface, PIXKIT is fully plug-and-play. Meanwhile, various autonomous driving algorithm systems and formats are supported