project name

Enhance the ride-sharing driver experience with electric vehicles through a comprehensive matching solution, optimizing everyone's time from trip allocation to charging.

Efficiency Connection Future Ready (WIP)

https://www.didiglobal.com/news/newsDetail?id=971&type=news （这个链接是给底下那个D1的）

In this project, we introduce Didi D1 HMI, a complete solution for electric ride-hailing. This platform smoothly integrates intelligent range calculations, optimized batch matching, and charging station management, addressing challenges unique to full-time ride-sharing drivers using electric vehicles (EVs).

Balancing B2C and B2B Needs in Electric Ride-Hailing

The D1(link WIP) initiative, a collaboration between Didi and BYD, aims to revolutionize the ride-sharing industry by introducing a fleet of purpose-built electric vehicles, catering to both B2C and B2B segments. The design balances operational efficiency and user experience. For riders and owner-drivers (B2C), it offers a driver-centric seat with comfort features and a customizable passenger space. For driver-partners and fleet operators (B2B), the D1 provides a cost-effective solution with extended driving range, fast charging, and integration with Didi's platform.

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Dynamic Heat Maps

Dynamic heat maps with real-time data to optimize routes, reduce idle time, and increase passenger pickups by highlighting high-demand areas.

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Intelligent Trip Assignment

Optimizes trip assignments based on battery levels, alerts drivers of low charge, and ensures smooth experiences by avoiding trips beyond the vehicle's range.

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Connected Battery Solutions

Cloud-based services and advanced algorithms optimize battery performance, suggest optimal charging locations

Our survey(link WIP) of ride-sharing platform drivers revealed that range anxiety is a major barrier for those considering leasing or buying an EV. The primary worry for these drivers is the system's accuracy in trip planning and dispatching orders in relation to the vehicle's battery range. Drivers often face situations where the system assigns them trips that exceed their current driving range, leading to anxiety and potential service disruptions. Another crucial issue is the availability and waiting time at charging stations. Full-time drivers often work long hours, usually ranging from 8 to 13 hours per day. As a result, time spent in queues at busy charging stations translates to a direct loss of potential earnings. Thus, efficiently locating and using charging stations is of paramount importance to these drivers.

The D1 platform resolves these issues by providing accurate range calculations based on real-time battery levels, driving conditions, and charging station availability. Consequently, full-time ride-sharing drivers can confidently accept trips, secure in the knowledge that the system has factored in their vehicle's range and charging needs. The platform intelligently plans routes that include necessary charging stops, ensuring that drivers can complete their assigned trips without depleting their battery. By optimizing the charging schedule and location selection, the D1 platform minimizes detours and charging time, enabling drivers to boost their productivity and earnings.

Driving Efficiency in EV Ride Sharing

Didi's dispatch system revolutionizes EV ride-sharing by seamlessly integrating vehicle, ride request, and traffic data to accurately predict battery levels for upcoming trips. This eliminates the need for drivers to manually search for charging stations and alleviates their anxiety about having sufficient range to complete ride requests. By continuously monitoring each vehicle's battery level and estimating the remaining range based on driving conditions, route elevation, and historical battery performance data, the system ensures that drivers are better prepared to meet passenger demands without the risk of mid-trip battery depletion, ultimately enhancing the reliability and efficiency of the service for both drivers and passengers.

Battery in the Cloud

Didi has developed a comprehensive, modular portfolio of cloud-based services that enhance battery performance and longevity. This approach improves electric vehicle usage by ensuring batteries operate efficiently throughout their extended lifespan. For drivers, this means reduced downtime and increased earning potential. They can have confidence that their vehicle's battery is managed optimally, lowering the likelihood of unexpected breakdowns or charging problems. Fleet operators can continuously monitor battery health and performance. Through proactive maintenance based on battery data analysis, they can predict when maintenance is required. This allows scheduling during off-peak hours, minimizing vehicle downtime and preventing battery-related issues from affecting service.

How the connected battery solutions work?

Didi's D1 platform uses advanced algorithms to suggest optimal charging locations for rideshare drivers, taking into account charger availability, battery charging curves, and expected local ride demand. The system also calculates the battery's state of charge at the end of a trip when riders are dropped off, factoring in the current battery level, charge depletion rate, ambient temperature, speed, and route gradient. Additionally, it assists drivers in finding the best charging spots and effectively manages the charging network for the entire rideshare community.

Bring the future of robotaxis to today: Why is smart rider-driver matching crucial in the era of electric vehicles

We believe that ultimate efficiency leads to the ultimate user experience. The smart design of batch-matching systems accelerates the transition to a superior user experience in the robotaxi era. As battery technology improves, enabling longer ranges and faster charging, advanced AI algorithms will efficiently match passengers with vehicles, optimize routes, and schedule predictive maintenance. This results in minimal wait times, reduced empty miles, and maximum fleet utilization. Leveraging vast data, AI models will continuously learn and adapt, delivering a seamless, on-demand transportation service that is both efficient and user-centric.