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ENGINEERING DELIVERY

Cockpit Testing Services
Smart Cockpit Full-Chain Testing

From function, interaction and performance to user experience, ZD Technology provides full-chain testing services for smart cockpits covering requirement analysis, test case design, test execution, issue tracking and acceptance support, together with voice automation and large model / multimodal model testing.

On-Site R&D TeamChina–Germany DeliveryOffshore / Onshore / On-Site Flexible Combination
30000+
Test cases delivered
210000+
Cumulative test cases executed
22000
Issues found and closed
30%+
Overall test efficiency improvement
Brands served include BMW ZEEKR smart 1 / 3 / 5 / 7 Series, X Series, i Series, M Series and more
01 / OVERVIEW

Service Overview

Smart cockpit platform development faces persistent challenges: multiple vehicle models in parallel, rising software complexity and tightly packed delivery milestones. ZD Technology places an on-site R&D team with customers to carry out full-chain testing around the smart cockpit system, covering requirement analysis, test case design, test execution, issue tracking and acceptance support, safeguarding software delivery quality at every stage. The team works on site at the customer's R&D location with China–Germany collaboration, delivering against quantifiable test case and defect metrics.

02 / CHALLENGES

Industry Challenges We Solve

The complexity and iteration speed of cockpit software place higher demands on the coverage capability and engineering maturity of the test team.

Multiple vehicle models developed in parallel

Under platform-based development, multiple vehicle model projects advance in parallel, cockpit software complexity keeps rising and delivery milestones are tightly packed, making it hard for in-house resources to achieve full coverage.

Difficult cross-subsystem integration testing

Cockpit functions span sub-systems such as vehicle control and settings, navigation, multimedia, voice, basic services and phone connectivity, and problems often only surface during cross-domain integration testing.

Lack of unified standards for experience metrics

Experience aspects such as start-up latency, interaction smoothness and multi-screen interaction lack a unified, reproducible quantitative definition.

Rapid iteration of voice and large model capabilities

Model capabilities such as intent understanding, rewriting and routing change quickly from version to version, requiring continuous, reproducible automated verification.

High requirements for defect flow efficiency

Defects must flow efficiently between the test and R&D teams and support stage acceptance.

03 / SERVICES

Testing Service Capabilities

Covers the core stages of smart cockpit R&D verification, and can be undertaken as a whole or combined by module.

SCOPE 01

Function and Integration Testing

Covers functional testing and whole-vehicle integration testing for modules such as IVI, vehicle control and settings, navigation, multimedia, basic services and phone connectivity.

Function & Integration
SCOPE 02

Performance and Stability Testing

Performance-specific testing such as start-up latency, resource usage and smoothness, plus long-duration stress and stability verification.

Performance & Stability
SCOPE 03

User Experience Testing

Quantitative evaluation of experience aspects such as interaction smoothness and multi-screen interaction, forming a reproducible evaluation standard.

User Experience
SCOPE 04

Voice-Specific Testing

Full-process testing of voice wake-up, recognition and interaction; an in-house automation solution automates the whole chain of injection, capture, judgment and recording.

Voice Testing
SCOPE 05

Large Model and Multimodal Testing

Quantitative evaluation of capability and performance for intent understanding, routing, rewriting, creative recommendation, knowledge base and in-cabin / exterior multimodal recognition.

LLM & Multimodal
SCOPE 06

Navigation and Real-Vehicle Road Testing

Navigation-specific testing and real-vehicle road test coverage, delivered in step with whole-vehicle integration and acceptance test milestones.

Navigation & Road Test
04 / PROCESS

End-to-End Test Process and Process Control

A five-step closed loop runs through the entire project, supported by plan, risk and measurement management mechanisms.

Requirement Analysis

Analyzes requirement change points and vehicle model differences, updates test cases and provides analysis recommendations.

Test Case Design

Module design documents are provided, with 100% review coverage for test cases and requirements.

Test Execution

Delivers according to the vehicle model schedule and completes functional testing, sharing the workload of stability-specific and road-test tasks.

Issue Tracking

Platform-based defect flow and weekly measurement, tracking fix plans against actuals.

Acceptance Support

Submits test reports at milestones and supports stage acceptance and on-site joint debugging.

▎Safeguards Throughout the Project

  • Multi-dimensional test plan breakdown: goals and strategy, staffing, functional / performance / automation / real-vehicle plans, quality and defect management, equipment resources and training support
  • Five-step risk closed loop: plan definition → identification and assessment → response planning → response execution → tracking and monitoring
  • Measurement mechanism: defect metrics are reported weekly and at milestones to monitor fix progress
  • On-site delivery: the team works at the customer's site throughout the project and provides on-site support at production lines and other locations as needed
05 / PRACTICE

Project Case: Full-Chain Smart Cockpit Testing

Series production project for an international luxury brand's smart cockpit platform, covering smart cockpit, IVI, TSP and whole-vehicle testing.

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DimensionContent
Service ModelOn-site team at the customer's R&D location with China–Germany delivery collaboration, supporting offshore / onshore / on-site delivery models
Test ScopeDefinition and execution of smart cockpit, IVI, TSP and whole-vehicle test plans; covering whole-vehicle integration and acceptance testing, navigation and navigation road testing, voice-specific testing (wake-up and recognition), basic services, vehicle control and settings, OTA and more
Key Results30000+ test cases delivered · 210000+ test cases executed · nearly 22,000 issues found and closed
Delivery ResultsOverall test efficiency improvement 30% or more, with no major defects escaping after SOP

▎More Cockpit Project Experience

  • ZEEKR CSC3.0 platform cockpit integration testing: an 8295-chip cockpit, covering connectivity and whole-vehicle integration testing, with test milestones spanning the full VP1 to J1 phases
  • smart smart-cockpit testing: testing services related to the cockpit voice assistant (Xiao V)
  • Cockpit voice automation testing: 90.3% voice interaction test coverage and a 60% reduction in voice testing time
06 / AI TESTING

Voice Automation and Large Model Testing

An in-house tool chain supports the voice automation closed loop, with multi-dimensional quantitative evaluation of large model and multimodal capabilities.

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Voice Automation StageConfiguration
Central control deviceCentral control unit + in-house software and algorithms
Signal SimulationZD Box 2i (developed in-house by ZD)
Audio injectionArtificial mouth, sound card
Voice captureCustom audio sound card
Video captureADB + HD camera
Voice recordingHigh-fidelity recording equipment

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Test TargetTest Content
Intent understanding modelAccuracy of bilingual (Chinese / English) intent, classification and slot filling; covers scenarios such as vehicle control, air conditioning, maps, vehicle status queries, app control, Q&A, AIGC and bookings, as well as performance on non-standard text
Routing modelRouting accuracy for cross-domain generalized instructions and text; ability to filter abnormal text
Rewriting modelAccuracy of intent rewriting for vehicle control, maps, text creation and more; single-turn and multi-turn dialogue performance; identification and correction of erroneous text
Creative recommendation modelAccuracy of recommended actions under different perception conditions and of generalized perception-based recommendations
Knowledge base modelAccuracy of knowledge recall in positive and negative scenarios
Multimodal modelIn-cabin and exterior scene recognition: child / pet / pregnant passenger detection, action and gesture recognition, dangerous action recognition, environment and road condition perception, and more
Model PerformanceInference speed (TTFT / TPOT / TPS), resource usage (CPU / memory / GPU), and 24–48 hour long-duration and high-load stability
07 / DELIVERABLES

Deliverables List

All deliverables are produced according to the customer's template and submitted at milestones; delivery is considered complete only after customer acceptance.

Asset Type

Test case library, automated script assets, module design documents.

Report Type

Software test reports, defect reports, stability and stress test reports.

Acceptance Type

Stage acceptance materials, supporting the customer through milestone acceptance.

08 / STRENGTHS

Our Strengths

01On-Site + China–Germany Delivery

We work on site at the customer's R&D location throughout the project, and also offer offshore, onshore and on-site delivery models that can be flexibly combined according to project stage.

02Staff Grading and Stability Mechanism

Senior engineers (8+ years) and mid-level engineers (5+ years) are allocated according to project ratios; testers must have 3+ years of head-unit low-level testing experience and be familiar with modules such as BT/WiFi, Diag/FOTA, Camera and CarPlay; any personnel change must be approved by the customer and include a complete handover.

03In-House Tool Chain Support

ZD-Box, the ZD-Datalogger series, the ZD Digital Lab digital laboratory management system and an automated script development environment, supporting integration between automated test terminals and benches.

04Clear Quality Commitment

Warranty-period support is provided after SOP with free maintenance during the warranty; remote support responds quickly and resolves issues within a committed time.

05Data and Information Security

Clean-room and dedicated-network working environment, tiered access control for code and documents, and strict confidentiality management of test data.

09 / FAQ

FAQ

Can ZD's cockpit testing be delivered on site?
Yes, and on-site work is the primary service model. The team works at the customer's site throughout the project and provides on-site support at production lines and other locations as needed.
How automated is the voice testing?
Based on our in-house central control unit, ZD Box 2i signal simulation and custom audio sound cards, voice interaction is automatically injected, captured, judged and recorded, achieving 90.3% voice interaction test coverage and a 60% reduction in test time.
How are large model capabilities quantitatively evaluated?
Along two lines, capability and performance: on the capability side we evaluate the accuracy of intent understanding, routing, rewriting, creative recommendation, knowledge base and multimodal recognition; on the performance side we evaluate TTFT, TPOT, TPS and resource usage, and run 24–48 hour long-duration and high-load stability tests.
How do you ensure the stability and capability of the on-site team?
Through staffing ratios and capability grading, entry interviews and a probation period, and a clear replacement process and handover plan; a replacement's years of experience are no lower than the original role's requirement, and the handover period is at least 1 month.

Need to build a test team for your smart cockpit project?

Contact us for an on-site testing service plan and staffing recommendations.